Mark

April 2nd 2011, I mark today and will come back with my sword in one year.

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corel results

 

mynewforcats(la_corel10,da_corel10,2,20,1000)

ave =

0.9262

0.9268

0.9283

0.9312

0.9323

0.9328

0.9292

0.9308

0.9298

0.9337

0.9340

0.9298

0.9328

0.9307

0.9297

average =

0.9305

stderror =

0.0024

Elapsed time is 9911.350589 seconds.

dog

sum =
2.2420    2.2870    2.3205    2.3325    2.3450    2.3385    2.3465    2.3410    2.3525    2.3435    2.3515    2.3510    2.3615    2.3605    2.3660

ave =
0.7473    0.7623    0.7735    0.7775    0.7817    0.7795    0.7822    0.7803    0.7842    0.7812    0.7838    0.7837    0.7872    0.7868    0.7887

average =
0.7787

stderror =
0.0108
Elapsed time is 10395.892309 seconds.

============================================================

>> RFCorelThis is class 1

example 100 trees: return rate 0.594500
example 200 trees: return rate 0.613500
example 300 trees: return rate 0.624500
example 400 trees: return rate 0.622000
example 500 trees: return rate 0.620500
example 600 trees: return rate 0.626500
example 700 trees: return rate 0.617500
example 800 trees: return rate 0.625500
example 900 trees: return rate 0.627000
example 1000 trees: return rate 0.624000
example 1100 trees: return rate 0.627000
example 1200 trees: return rate 0.619000
example 1300 trees: return rate 0.625500
example 1400 trees: return rate 0.625500
example 1500 trees: return rate 0.623500
retrate =
0.5945    0.6135    0.6245    0.6220    0.6205    0.6265    0.6175    0.6255    0.6270    0.6240    0.6270    0.6190    0.6255    0.6255    0.6235

sum =
0.5945    0.6135    0.6245    0.6220    0.6205    0.6265    0.6175    0.6255    0.6270    0.6240    0.6270    0.6190    0.6255    0.6255    0.6235

example 100 trees: return rate 0.576500
example 200 trees: return rate 0.596500
example 300 trees: return rate 0.607500
example 400 trees: return rate 0.596500
example 500 trees: return rate 0.611500
example 600 trees: return rate 0.610000
example 700 trees: return rate 0.614500
example 800 trees: return rate 0.603500
example 900 trees: return rate 0.614500
example 1000 trees: return rate 0.616000
example 1100 trees: return rate 0.611000
example 1200 trees: return rate 0.611500
example 1300 trees: return rate 0.612500
example 1400 trees: return rate 0.612500
example 1500 trees: return rate 0.616000
retrate =
0.5765    0.5965    0.6075    0.5965    0.6115    0.6100    0.6145    0.6035    0.6145    0.6160    0.6110    0.6115    0.6125    0.6125    0.6160

sum =
1.1710    1.2100    1.2320    1.2185    1.2320    1.2365    1.2320    1.2290    1.2415    1.2400    1.2380    1.2305    1.2380    1.2380    1.2395

example 100 trees: return rate 0.577000
example 200 trees: return rate 0.594000
example 300 trees: return rate 0.589500
example 400 trees: return rate 0.608500
example 500 trees: return rate 0.611000
example 600 trees: return rate 0.608000
example 700 trees: return rate 0.618500
example 800 trees: return rate 0.612000
example 900 trees: return rate 0.616500
example 1000 trees: return rate 0.614000
example 1100 trees: return rate 0.615000
example 1200 trees: return rate 0.616500
example 1300 trees: return rate 0.611000
example 1400 trees: return rate 0.615500
example 1500 trees: return rate 0.613000
retrate =
0.5770    0.5940    0.5895    0.6085    0.6110    0.6080    0.6185    0.6120    0.6165    0.6140    0.6150    0.6165    0.6110    0.6155    0.6130

sum =
1.7480    1.8040    1.8215    1.8270    1.8430    1.8445    1.8505    1.8410    1.8580    1.8540    1.8530    1.8470    1.8490    1.8535    1.8525

ave =
0.5827    0.6013    0.6072    0.6090    0.6143    0.6148    0.6168    0.6137    0.6193    0.6180    0.6177    0.6157    0.6163    0.6178    0.6175

average =
0.6121

stderror =
0.0095
Elapsed time is 10253.388715 seconds.This is class 4

example 100 trees: return rate 0.902500
example 200 trees: return rate 0.910000
example 300 trees: return rate 0.916000
example 400 trees: return rate 0.916000
example 500 trees: return rate 0.907000
example 600 trees: return rate 0.915500
example 700 trees: return rate 0.916000
example 800 trees: return rate 0.921000
example 900 trees: return rate 0.914000
example 1000 trees: return rate 0.913500
example 1100 trees: return rate 0.919000
example 1200 trees: return rate 0.918000
example 1300 trees: return rate 0.924000
example 1400 trees: return rate 0.922000
example 1500 trees: return rate 0.920500
retrate =
0.9025    0.9100    0.9160    0.9160    0.9070    0.9155    0.9160    0.9210    0.9140    0.9135    0.9190    0.9180    0.9240    0.9220    0.9205

sum =
0.9025    0.9100    0.9160    0.9160    0.9070    0.9155    0.9160    0.9210    0.9140    0.9135    0.9190    0.9180    0.9240    0.9220    0.9205

example 100 trees: return rate 0.937000
example 200 trees: return rate 0.943000
example 300 trees: return rate 0.946000
example 400 trees: return rate 0.951500
example 500 trees: return rate 0.949000
example 600 trees: return rate 0.956000
example 700 trees: return rate 0.954500
example 800 trees: return rate 0.952500
example 900 trees: return rate 0.951000
example 1000 trees: return rate 0.950000
example 1100 trees: return rate 0.957000
example 1200 trees: return rate 0.954000
example 1300 trees: return rate 0.950000
example 1400 trees: return rate 0.956500
example 1500 trees: return rate 0.953500
retrate =
0.9370    0.9430    0.9460    0.9515    0.9490    0.9560    0.9545    0.9525    0.9510    0.9500    0.9570    0.9540    0.9500    0.9565    0.9535

sum =
1.8395    1.8530    1.8620    1.8675    1.8560    1.8715    1.8705    1.8735    1.8650    1.8635    1.8760    1.8720    1.8740    1.8785    1.8740

example 100 trees: return rate 0.930500
example 200 trees: return rate 0.937500
example 300 trees: return rate 0.942000
example 400 trees: return rate 0.941000
example 500 trees: return rate 0.950000
example 600 trees: return rate 0.948000
example 700 trees: return rate 0.942000
example 800 trees: return rate 0.944500
example 900 trees: return rate 0.950500
example 1000 trees: return rate 0.947500
example 1100 trees: return rate 0.945000
example 1200 trees: return rate 0.947500
example 1300 trees: return rate 0.948000
example 1400 trees: return rate 0.944500
example 1500 trees: return rate 0.949500
retrate =
0.9305    0.9375    0.9420    0.9410    0.9500    0.9480    0.9420    0.9445    0.9505    0.9475    0.9450    0.9475    0.9480    0.9445    0.9495

sum =
2.7700    2.7905    2.8040    2.8085    2.8060    2.8195    2.8125    2.8180    2.8155    2.8110    2.8210    2.8195    2.8220    2.8230    2.8235

ave =
0.9233    0.9302    0.9347    0.9362    0.9353    0.9398    0.9375    0.9393    0.9385    0.9370    0.9403    0.9398    0.9407    0.9410    0.9412

average =
0.9370

stderror =
0.0048
Elapsed time is 10209.946971 seconds.This is class 6

example 100 trees: return rate 0.853000
example 200 trees: return rate 0.869500
example 300 trees: return rate 0.874000
example 400 trees: return rate 0.878500
example 500 trees: return rate 0.875000
example 600 trees: return rate 0.880500
example 700 trees: return rate 0.879500
example 800 trees: return rate 0.876000
example 900 trees: return rate 0.880000
example 1000 trees: return rate 0.878500
example 1100 trees: return rate 0.874500
example 1200 trees: return rate 0.880500
example 1300 trees: return rate 0.880500
example 1400 trees: return rate 0.877500
example 1500 trees: return rate 0.881000
retrate =
0.8530    0.8695    0.8740    0.8785    0.8750    0.8805    0.8795    0.8760    0.8800    0.8785    0.8745    0.8805    0.8805    0.8775    0.8810

sum =
0.8530    0.8695    0.8740    0.8785    0.8750    0.8805    0.8795    0.8760    0.8800    0.8785    0.8745    0.8805    0.8805    0.8775    0.8810

example 100 trees: return rate 0.833000
example 200 trees: return rate 0.859500
example 300 trees: return rate 0.862000
example 400 trees: return rate 0.855500
example 500 trees: return rate 0.864000
example 600 trees: return rate 0.866500
example 700 trees: return rate 0.869000
example 800 trees: return rate 0.866500
example 900 trees: return rate 0.865500
example 1000 trees: return rate 0.865500
example 1100 trees: return rate 0.870000
example 1200 trees: return rate 0.864500
example 1300 trees: return rate 0.865000
example 1400 trees: return rate 0.867000
example 1500 trees: return rate 0.867500
retrate =
0.8330    0.8595    0.8620    0.8555    0.8640    0.8665    0.8690    0.8665    0.8655    0.8655    0.8700    0.8645    0.8650    0.8670    0.8675

sum =
1.6860    1.7290    1.7360    1.7340    1.7390    1.7470    1.7485    1.7425    1.7455    1.7440    1.7445    1.7450    1.7455    1.7445    1.7485

example 100 trees: return rate 0.866500
example 200 trees: return rate 0.872000
example 300 trees: return rate 0.870500
example 400 trees: return rate 0.882000
example 500 trees: return rate 0.876000
example 600 trees: return rate 0.885000
example 700 trees: return rate 0.886000
example 800 trees: return rate 0.875500
example 900 trees: return rate 0.881000
example 1000 trees: return rate 0.883500
example 1100 trees: return rate 0.881000
example 1200 trees: return rate 0.880500
example 1300 trees: return rate 0.884500
example 1400 trees: return rate 0.882500
example 1500 trees: return rate 0.882000
retrate =
0.8665    0.8720    0.8705    0.8820    0.8760    0.8850    0.8860    0.8755    0.8810    0.8835    0.8810    0.8805    0.8845    0.8825    0.8820

sum =
2.5525    2.6010    2.6065    2.6160    2.6150    2.6320    2.6345    2.6180    2.6265    2.6275    2.6255    2.6255    2.6300    2.6270    2.6305

ave =
0.8508    0.8670    0.8688    0.8720    0.8717    0.8773    0.8782    0.8727    0.8755    0.8758    0.8752    0.8752    0.8767    0.8757    0.8768

average =
0.8726

stderror =
0.0068
Elapsed time is 10287.321622 seconds.This is class 8

example 100 trees: return rate 0.905000
example 200 trees: return rate 0.911000
example 300 trees: return rate 0.914000
example 400 trees: return rate 0.918000
example 500 trees: return rate 0.918500
example 600 trees: return rate 0.917000
example 700 trees: return rate 0.918000
example 800 trees: return rate 0.918500
example 900 trees: return rate 0.918500
example 1000 trees: return rate 0.920000
example 1100 trees: return rate 0.921000
example 1200 trees: return rate 0.920000
example 1300 trees: return rate 0.919500
example 1400 trees: return rate 0.919000
example 1500 trees: return rate 0.919000
retrate =
0.9050    0.9110    0.9140    0.9180    0.9185    0.9170    0.9180    0.9185    0.9185    0.9200    0.9210    0.9200    0.9195    0.9190    0.9190

sum =
0.9050    0.9110    0.9140    0.9180    0.9185    0.9170    0.9180    0.9185    0.9185    0.9200    0.9210    0.9200    0.9195    0.9190    0.9190

example 100 trees: return rate 0.893500
example 200 trees: return rate 0.904500
example 300 trees: return rate 0.900000
example 400 trees: return rate 0.905000
example 500 trees: return rate 0.905000
example 600 trees: return rate 0.901000
example 700 trees: return rate 0.903500
example 800 trees: return rate 0.904500
example 900 trees: return rate 0.903500
example 1000 trees: return rate 0.904500
example 1100 trees: return rate 0.907000
example 1200 trees: return rate 0.907500
example 1300 trees: return rate 0.907500
example 1400 trees: return rate 0.906000
example 1500 trees: return rate 0.908000
retrate =
0.8935    0.9045    0.9000    0.9050    0.9050    0.9010    0.9035    0.9045    0.9035    0.9045    0.9070    0.9075    0.9075    0.9060    0.9080

sum =
1.7985    1.8155    1.8140    1.8230    1.8235    1.8180    1.8215    1.8230    1.8220    1.8245    1.8280    1.8275    1.8270    1.8250    1.8270

example 100 trees: return rate 0.896500
example 200 trees: return rate 0.897000
example 300 trees: return rate 0.902500
example 400 trees: return rate 0.908500
example 500 trees: return rate 0.910500
example 600 trees: return rate 0.907000
example 700 trees: return rate 0.907000
example 800 trees: return rate 0.912000
example 900 trees: return rate 0.910000
example 1000 trees: return rate 0.907500
example 1100 trees: return rate 0.911000
example 1200 trees: return rate 0.911000
example 1300 trees: return rate 0.907500
example 1400 trees: return rate 0.909000
example 1500 trees: return rate 0.909500
retrate =
0.8965    0.8970    0.9025    0.9085    0.9105    0.9070    0.9070    0.9120    0.9100    0.9075    0.9110    0.9110    0.9075    0.9090    0.9095

sum =
2.6950    2.7125    2.7165    2.7315    2.7340    2.7250    2.7285    2.7350    2.7320    2.7320    2.7390    2.7385    2.7345    2.7340    2.7365

ave =
0.8983    0.9042    0.9055    0.9105    0.9113    0.9083    0.9095    0.9117    0.9107    0.9107    0.9130    0.9128    0.9115    0.9113    0.9122

average =
0.9094

stderror =
0.0040
Elapsed time is 10150.352861 seconds.This is class 9

example 100 trees: return rate 0.582500
example 200 trees: return rate 0.596000
example 300 trees: return rate 0.609000
example 400 trees: return rate 0.617500
example 500 trees: return rate 0.615500
example 600 trees: return rate 0.622000
example 700 trees: return rate 0.620000
example 800 trees: return rate 0.622500
example 900 trees: return rate 0.613500
example 1000 trees: return rate 0.610000
example 1100 trees: return rate 0.624000
example 1200 trees: return rate 0.614000
example 1300 trees: return rate 0.615500
example 1400 trees: return rate 0.623500
example 1500 trees: return rate 0.624500
retrate =
0.5825    0.5960    0.6090    0.6175    0.6155    0.6220    0.6200    0.6225    0.6135    0.6100    0.6240    0.6140    0.6155    0.6235    0.6245

sum =
0.5825    0.5960    0.6090    0.6175    0.6155    0.6220    0.6200    0.6225    0.6135    0.6100    0.6240    0.6140    0.6155    0.6235    0.6245

example 100 trees: return rate 0.580000
example 200 trees: return rate 0.575500
example 300 trees: return rate 0.592500
example 400 trees: return rate 0.583500
example 500 trees: return rate 0.578500
example 600 trees: return rate 0.588000
example 700 trees: return rate 0.593000
example 800 trees: return rate 0.592500
example 900 trees: return rate 0.585000
example 1000 trees: return rate 0.591500
example 1100 trees: return rate 0.589000
example 1200 trees: return rate 0.590500
example 1300 trees: return rate 0.588000
example 1400 trees: return rate 0.594500
example 1500 trees: return rate 0.600000
retrate =
0.5800    0.5755    0.5925    0.5835    0.5785    0.5880    0.5930    0.5925    0.5850    0.5915    0.5890    0.5905    0.5880    0.5945    0.6000

sum =
1.1625    1.1715    1.2015    1.2010    1.1940    1.2100    1.2130    1.2150    1.1985    1.2015    1.2130    1.2045    1.2035    1.2180    1.2245

example 100 trees: return rate 0.575500
example 200 trees: return rate 0.595000
example 300 trees: return rate 0.596000
example 400 trees: return rate 0.601000
example 500 trees: return rate 0.607000
example 600 trees: return rate 0.600500
example 700 trees: return rate 0.608000
example 800 trees: return rate 0.607500
example 900 trees: return rate 0.604000
example 1000 trees: return rate 0.603500
example 1100 trees: return rate 0.603500
example 1200 trees: return rate 0.606000
example 1300 trees: return rate 0.608500
example 1400 trees: return rate 0.597000
example 1500 trees: return rate 0.610500
retrate =
0.5755    0.5950    0.5960    0.6010    0.6070    0.6005    0.6080    0.6075    0.6040    0.6035    0.6035    0.6060    0.6085    0.5970    0.6105

sum =
1.7380    1.7665    1.7975    1.8020    1.8010    1.8105    1.8210    1.8225    1.8025    1.8050    1.8165    1.8105    1.8120    1.8150    1.8350

ave =
0.5793    0.5888    0.5992    0.6007    0.6003    0.6035    0.6070    0.6075    0.6008    0.6017    0.6055    0.6035    0.6040    0.6050    0.6117

average =
0.6012

stderror =
0.0079
Elapsed time is 10269.549770 seconds.This is class 10

example 100 trees: return rate 0.665500
example 200 trees: return rate 0.674000
example 300 trees: return rate 0.684000
example 400 trees: return rate 0.689500
example 500 trees: return rate 0.692000
example 600 trees: return rate 0.684500
example 700 trees: return rate 0.682000
example 800 trees: return rate 0.693000
example 900 trees: return rate 0.696000
example 1000 trees: return rate 0.677000
example 1100 trees: return rate 0.698500
example 1200 trees: return rate 0.691500
example 1300 trees: return rate 0.688000
example 1400 trees: return rate 0.693000
example 1500 trees: return rate 0.698000
retrate =
0.6655    0.6740    0.6840    0.6895    0.6920    0.6845    0.6820    0.6930    0.6960    0.6770    0.6985    0.6915    0.6880    0.6930    0.6980

sum =
0.6655    0.6740    0.6840    0.6895    0.6920    0.6845    0.6820    0.6930    0.6960    0.6770    0.6985    0.6915    0.6880    0.6930    0.6980

example 100 trees: return rate 0.650000
example 200 trees: return rate 0.677000
example 300 trees: return rate 0.675000
example 400 trees: return rate 0.680500
example 500 trees: return rate 0.678000
example 600 trees: return rate 0.692000
example 700 trees: return rate 0.681500
example 800 trees: return rate 0.687000
example 900 trees: return rate 0.682000
example 1000 trees: return rate 0.682500
example 1100 trees: return rate 0.687500
example 1200 trees: return rate 0.692000
example 1300 trees: return rate 0.682000
example 1400 trees: return rate 0.687500
example 1500 trees: return rate 0.686000
retrate =
0.6500    0.6770    0.6750    0.6805    0.6780    0.6920    0.6815    0.6870    0.6820    0.6825    0.6875    0.6920    0.6820    0.6875    0.6860

sum =
1.3155    1.3510    1.3590    1.3700    1.3700    1.3765    1.3635    1.3800    1.3780    1.3595    1.3860    1.3835    1.3700    1.3805    1.3840

example 100 trees: return rate 0.638000
example 200 trees: return rate 0.653000
example 300 trees: return rate 0.663000
example 400 trees: return rate 0.679000
example 500 trees: return rate 0.679000
example 600 trees: return rate 0.688000
example 700 trees: return rate 0.682500
example 800 trees: return rate 0.667500
example 900 trees: return rate 0.674000
example 1000 trees: return rate 0.680500
example 1100 trees: return rate 0.673500
example 1200 trees: return rate 0.680000
example 1300 trees: return rate 0.681500
example 1400 trees: return rate 0.681000
example 1500 trees: return rate 0.678500
retrate =
0.6380    0.6530    0.6630    0.6790    0.6790    0.6880    0.6825    0.6675    0.6740    0.6805    0.6735    0.6800    0.6815    0.6810    0.6785

sum =
1.9535    2.0040    2.0220    2.0490    2.0490    2.0645    2.0460    2.0475    2.0520    2.0400    2.0595    2.0635    2.0515    2.0615    2.0625

ave =
0.6512    0.6680    0.6740    0.6830    0.6830    0.6882    0.6820    0.6825    0.6840    0.6800    0.6865    0.6878    0.6838    0.6872    0.6875

average =
0.6806

stderror =
0.0098
Elapsed time is 10093.440792 seconds.

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Review of following 2-3 weeks

In the following three weeks, I did normally did these things:

1. Caiming’s RF experiments on Corel dataset

2. PCA HW and some part of NS2 prj

3. prepare for the 2 exams

On average I may work 8-10 hours everyday for the following 3 weeks, stay late to 4am twice and stay all night twice.

I did pretty much on RF, fair on PCA hw, few on NS2 and very poor on mid-term. I have to stand all the negative comments and pressure, though I know I gonna conquer it later, if possible. The judgments of others, no matter without conscious or with intention, would not beat me as far as its property, but would do bother me.

What I should now face directly is the frustration from inner, the situation is not like lase semester, when I still can convince myself that I can make it if I really intend to. Now, there is some inner conflict in terms of whether or not, I can make it, considering the endeavor I have payed. I cannot convince myself I can definitely do it, I have to drag myself in the column of observation, to see, with more endeavor and devotion, can I do it.

I must prepare for the worst from now on, prepare for the abandon from people I who thought I am good, from people who I care, no matter how small the likelihood is.

==================================================

As for the future

This weekend, is in emergency of finishing NS2 project, it is what I must do.

In the spring break, I will do the following:

1) Finish most of the experiments of RF, including comparison to DCA, ITML, etc

2) Start new experiments on Yale face dataset

3) Start Action Recognition project with Caiming, make the most of the help from Gang and Wei, in specific, I must extract all the method/formulation, result/dataset and graphs of literature from Gang. Discuss with Caiming about the formulation of the problem, before that I should have read 3-4 key papers ahead. Thirdly, get relevant code(data input, etc) from Chen Wei and discuss.

4)prepare for the Algorithm midterm, which I should definitely win cause it is really not a very complex one. Start early.

5) Project2 of Network, do a start

6) Grade HW6 of 191 and prepare for a large jump next week

7) HW3 of PR, no error permitted

Besides, I should focus on course study along with all these things, because I cannot just prepare for a week and meet the final, which will destroy me totally.

Some trivial things:

1) Driving permit

2) National Feul

3) B-mall to get enough clothes

======================================================

Some regulations stressed

1) No web surfing during daytime, less than 10 min permitted each day

2) No need to eat/go home with home mates, it really costs a lot of time and has a dangerous potential that abuse me to these companion feeling. I should do lonely sometimes, just like in Tianjin, do all the things by myself and enjoy myself.

3) Communicate with Caiming, Gang, Wei, Shaoming intendedly.

4) Work harder, work wiser.

5) You are nothing, really nothing, so do everything

 

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ns2

setenv PATH ${PATH}:/home/csgrad/589/rxu2/ns-allinone-2.34/bin:/home/csgrad/rxu2/589/ns-allinone-2.34/tcl8.4.18/unix:/home/csgrad/rxu2/589/ns-allinone-2.34/tk8.4.18/unix

setenv LD_LIBRARY_PATH ${LD_LIBRARY_PATH}:/home/csgrad/rxu2/589/ns-allinone-2.34/otcl-1.13

setenv LD_LIBRARY_PATH ${LD_LIBRARY_PATH}:/home/csgrad/rxu2/589/ns-allinone-2.34/lib

setenv TCL_LIBRARY /home/csgrad/rxu2/589/ns-allinone- 2.34/tcl8.4.18/library

这个是定义的

setenv PATH ${PATH}:/home/csgrad/589/rxu2/ns-allinone-2.34/bin:/home/csgrad/rxu2/589/ns-allinone-2.34/tcl8.4.18/unix:/home/csgrad/rxu2/589/ns-allinone-2.34/tk8.4.18/unix

setenv LD_LIBRARY_PATH ${LD_LIBRARY_PATH}:/home/csgrad/rxu2/589/ns-allinone-2.34/otcl-1.13

setenv LD_LIBRARY_PATH ${LD_LIBRARY_PATH}:/home/csgrad/rxu2/589/ns-allinone-2.34/lib

setenv TCL_LIBRARY /home/csgrad/rxu2/589/ns-allinone-2.34/tcl8.4.18/library

Casey~@!@~  20:11:10
vi .cshrc
Casey~@!@~   14:59:47
然后输入set path里面的路径
Casey~@!@~   15:00:07
然后 source .cshrc

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26th Feb_5th week review

Today is Saturday, not a smooth day.

4-5 week I was quite productive.

4th Sunday I start over with Fei, study some Random Forest theory in Duda book.

On Monday I forgot to finish grading HW before 11am, it was a significant mistake, I should have done the job earlier. And basically I prepared for the Tuesday quiz of Networking in the evening.

On Tuesday I prepared the quiz in the morning, and the quiz turns out to be a funny survey of the course, but at least I know that the first funny quiz only counts for the attendance. In the evening I basically figure out the canny contour detection algorithm and change the Matlab code in the toolbox to get a 18 dimensional shape features of Corel dataset.

On Wednesday I try to figure out how dose wavelet filter work to extract 9 dimensional texture features. And I stay late to 4am before leaving.

On Thursday I prepared for the recitation a little bit, held  the recitation and decided to choose mean, variance and mode number of the three lever of wavelet decomposition coefficient as the 9 dimensional feature at last and left the lab at around 4am.

On Friday I collected the data and presented it to Caiming, who seems quite impressive and decided to use Corel dataset again to see what could happen. And I finished the recitation and graded 50 HW and 50 quizs in the evening. Got home around 12:30.

On Saturday I finished 3 problem of Pattern Recognition HW and try to follow the experiments in the DCA paper. And, talk with Dingcheng and WeiChen provides me some thoughtful and pleasure time. At last, I would like to finish PCA tonight.

 

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4th week

1. make the 191 HW3 answer sheet for Prof. Regan

2. Cut the hair (before 4pm)

3. Start some theory of Random Forest (Duda book) begins at 12;30pm

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19th Feb.

11 months later, in the cold winter of Buffalo, which is just like the cold winter of Tianjin, I got there. But this time I don’t want to keep lightening cigarettes and listening to the busy bee of cellphone; the emotion is not a hurry anxiety any more, but turning out to be a final pressure of months. I have my happiest and saddest life in the past few months, and never regret to say yes in the gloomy spring afternoon.

Take care, fei; take care, ran.

 

 

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