Difference between revisions of "Xingchao work"

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=Chaos Work=
 
=Chaos Work=
 
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==SLT==
==Date Line==
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===Date 2015-10-09===
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====Plan to do====
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:1. Write Matrix Factorization program.
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:2. Write DNN Max-Margin program with dropout.
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:3. Run some test model in GPU machines.
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<Written by 10-08>
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====Done====
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:2. Write DNN Max-Margin program with dropout.
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:3. Run some test model in GPU machines.
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===Date 2015-10-10===
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====Plan to do====
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:1. Write Matrix Factorization program.
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:2. Start test different matrix factorization lost functions.
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:3. Write Binary Vector for theano mode.
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<Written by 10-09>
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====Done====
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:1. Write Matrix Factorization program.
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:2. Start test different matrix factorization lost functions.
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<Written by 10-12>
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===Date 2015-10-12===
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====Plan to do====
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:1. Test different matrix factorization lost functions.
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:2. Write Binary Vector for theano mode.
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:3. Thinking the method for merge different resource for one matrix factorization process.
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====Done====
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:1. Test different matrix factorization lost functions.
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:2. Write Binary Vector for theano mode.
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:3. Thinking the method for merge different resource for one matrix factorization process.
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<Written by 10-13>
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===Date 2015-10-13===
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====Plan to do====
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:1. Read Papers for matrix factorization.
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:2. Read Papers for binary vectors.
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====Done====
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:1. Read Papers for matrix factorization.
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    Paper list:
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      Neural Word Embedding as Implicit Matrix Factorization. Omer Levy;
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:2. Read Papers for binary vectors.
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    Paper list:
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      Learning to Hash for Indexing Big Data - A Survey. Jun Wang;
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      Learning Hash Codes with Listwise Supervision. Jun Wang;
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      Kernelized Locality-Sensitive Hashing for Scalable Image Search. Brian Kulis;
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<Written by 10-14>
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===Date 2015-10-13===
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====Plan to do====
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:1. Read Papers for matrix factorization.
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:2. Read Papers for binary vectors.
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====Done====
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Revision as of 04:43, 8 April 2016

Chaos Work

SLT