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» Approximation Methods for Supervised Learning
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MM
2010
ACM
151views Multimedia» more  MM 2010»
15 years 8 hour ago
Explicit and implicit concept-based video retrieval with bipartite graph propagation model
The major scientific problem for content-based video retrieval is the semantic gap. Generally speaking, there are two appropriate ways to bridge the semantic gap: the first one is...
Lei Bao, Juan Cao, Yongdong Zhang, Jintao Li, Ming...
IJRR
2008
109views more  IJRR 2008»
14 years 11 months ago
Robotic Grasping of Novel Objects using Vision
We consider the problem of grasping novel objects, specifically ones that are being seen for the first time through vision. Grasping a previously unknown object, one for which a 3...
Ashutosh Saxena, Justin Driemeyer, Andrew Y. Ng
TCSV
2008
177views more  TCSV 2008»
14 years 11 months ago
An ICA Mixture Hidden Markov Model for Video Content Analysis
In this paper, a new theoretical framework based on hidden Markov model (HMM) and independent component analysis (ICA) mixture model is presented for content analysis of video, nam...
Jian Zhou, Xiao-Ping Zhang
PAMI
2007
185views more  PAMI 2007»
14 years 11 months ago
A Two-Level Generative Model for Cloth Representation and Shape from Shading
In this paper we present a two-level generative model for representing the images and surface depth maps of drapery and clothes. The upper level consists of a number of folds whic...
Feng Han, Song Chun Zhu
KDD
2012
ACM
205views Data Mining» more  KDD 2012»
13 years 2 months ago
Rank-loss support instance machines for MIML instance annotation
Multi-instance multi-label learning (MIML) is a framework for supervised classification where the objects to be classified are bags of instances associated with multiple labels....
Forrest Briggs, Xiaoli Z. Fern, Raviv Raich