mplab
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Robovie used as shopping companion
1:44 PM Dec 10th
from TwitterPod
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[Xiang et al.] Dynamic spatially smoothed regularization ensures boosting to select clustered but not scattered features.
10:42 AM Dec 9th
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[Seeger.] Informax fMRI pulse seq. design, extends previous single 2d slice work to 3d volume optimization, which shows some improvement.
10:37 AM Dec 9th
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[Berkes et al] No evidence of active sparsification in V1. They paralyzed some inputs of V1, the result mismatches sparse model prediction.
10:34 AM Dec 9th
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[Zinkevich] An asynchronous parallel SGD implementation showed that delayed propagation of new gradient leads to faster convergence.
10:25 AM Dec 9th
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[Cavagnaro] (standard D-opt) experiment design for human memory experiment. Compared 3 different short-term memory model.
10:25 AM Dec 9th
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[Bengio et al.] class dependent feature selection, similar to "personal spam filter". Mixed norm regularization generate sparses features.
10:24 AM Dec 9th
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[Schmidt] blind source separation with arbitrary linear/equality constraint on source. Solved using MCMC
9:58 AM Dec 9th
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Vul gave a talk on an ideal observer model for multiple object tracking using particle filters. Accounts for human experiments. Poster 2nite
4:44 PM Dec 8th
from web
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Graph-based consensus maximization: incorporate grouping constraints with outputs of classification algorithms
4:31 PM Dec 8th
from web
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Hinton gave a talk on extending RBMs to higher order interactions and applying it to a range problems with impressive results.
4:29 PM Dec 8th
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Hsu and Griffith use generative versus discriminative models of language learning to help give insight into the debate on nativism of lang.
4:27 PM Dec 8th
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[Zoran and Weiss] reported that edge filter could be obtained from natural images using maximum tree dependency algorithms(nonsparse code!).
11:48 AM Dec 8th
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[Ouyang and David] An Bayesian framework for realtime handdrawn sketch recognition with "component recog./context/continuity" likelihood.
11:43 AM Dec 8th
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[Blaschko et al] joint learning and projecting labeled data onto the manifold created from unlabeled data improves regression performance.
11:33 AM Dec 8th
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[Fujiwara et al.] Bayesian CCA to reconstruct visual stimuli from fMRI. The learned basis varies by eccentricity from 1px to 4px patterns.
10:54 AM Dec 8th
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ROC or Accuracy? Corinna Cortes and Mehryar Mohri[nips04], Davis & Goadrich [ICML2006], Ulf Brefeld Tobias Scheffer[icml05]
10:48 AM Dec 8th
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Sahand Negahban analyzes error bounds of sparse or low rank parameters in Lasso regression/covariance problem.
10:23 AM Dec 8th
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Sergio Verdu gives a nice (invited) talk on "relative entropy". More 'EE' perspective such as compression/coding than CS though.
9:40 AM Dec 8th
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Tony Torralba has a extensive and "exhausted" tutorial of object/scene recognition. 1 paper per slide! good summary but not very systematic
11:02 AM Dec 7th
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