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JMLR
2012
11 years 11 months ago
Online Incremental Feature Learning with Denoising Autoencoders
While determining model complexity is an important problem in machine learning, many feature learning algorithms rely on cross-validation to choose an optimal number of features, ...
Guanyu Zhou, Kihyuk Sohn, Honglak Lee
KDD
2012
ACM
187views Data Mining» more  KDD 2012»
11 years 11 months ago
Online learning to diversify from implicit feedback
In order to minimize redundancy and optimize coverage of multiple user interests, search engines and recommender systems aim to diversify their set of results. To date, these dive...
Karthik Raman, Pannaga Shivaswamy, Thorsten Joachi...
VLSID
2003
IEEE
134views VLSI» more  VLSID 2003»
14 years 9 months ago
A Framework for Energy and Transient Power Reduction during Behavioral Synthesis
Abstract-- In battery driven portable applications, the minimization of energy, average power, peak power, and peak power differential are equally important to improve reliability ...
Saraju P. Mohanty, N. Ranganathan
IJRR
2007
335views more  IJRR 2007»
13 years 8 months ago
Homography-based 2D Visual Tracking and Servoing
The objective of this paper is to propose a new homography-based approach to image-based visual tracking and servoing. The visual tracking algorithm proposed in the paper is based...
Selim Benhimane, Ezio Malis
JMLR
2010
143views more  JMLR 2010»
13 years 7 months ago
A Quasi-Newton Approach to Nonsmooth Convex Optimization Problems in Machine Learning
We extend the well-known BFGS quasi-Newton method and its memory-limited variant LBFGS to the optimization of nonsmooth convex objectives. This is done in a rigorous fashion by ge...
Jin Yu, S. V. N. Vishwanathan, Simon Günter, ...