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» Robust Feature Selection Algorithms
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185
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CVPR
2012
IEEE
13 years 4 months ago
Beyond spatial pyramids: Receptive field learning for pooled image features
In this paper we examine the effect of receptive field designs on classification accuracy in the commonly adopted pipeline of image classification. While existing algorithms us...
Yangqing Jia, Chang Huang, Trevor Darrell
153
Voted
ICCV
2011
IEEE
14 years 2 months ago
Latent Low-Rank Representation for Subspace Segmentation and Feature Extraction
Low-Rank Representation (LRR) [16, 17] is an effective method for exploring the multiple subspace structures of data. Usually, the observed data matrix itself is chosen as the dic...
Guangcan Liu, Shuicheng Yan
115
Voted
DCOSS
2007
Springer
15 years 8 months ago
Dwarf: Delay-aWAre Robust Forwarding for Energy-Constrained Wireless Sensor Networks
With the field of wireless sensor networks rapidly maturing, the focus shifts from “easy” deployments, like remote monitoring, to more difficult domains where applications imp...
Mario Strasser, Andreas Meier, Koen Langendoen, Ph...
PR
2007
96views more  PR 2007»
15 years 1 months ago
Weighted and robust learning of subspace representations
A reliable system for visual learning and recognition should enable a selective treatment of individual parts of input data and should successfully deal with noise and occlusions....
Danijel Skocaj, Ales Leonardis, Horst Bischof
116
Voted
WEBI
2009
Springer
15 years 8 months ago
Zero-Sum Reward and Punishment Collaborative Filtering Recommendation Algorithm
In this paper, we propose a novel memory-based collaborative filtering recommendation algorithm. Our algorithm use a new metric named influence weight, which is adjusted with ze...
Nan Li, Chunping Li