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» Objective reduction using a feature selection technique
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CVPR
2009
IEEE
16 years 9 months ago
Learning Mixed Templates for Object Recognition
This article proposes a method for learning object templates composed of local sketches and local textures, and investigates the relative importance of the sketches and textures ...
Haifeng Gong, Song Chun Zhu, Ying Nian Wu, Zhangzh...
114
Voted
SDM
2004
SIAM
162views Data Mining» more  SDM 2004»
15 years 5 months ago
Subspace Clustering of High Dimensional Data
Clustering suffers from the curse of dimensionality, and similarity functions that use all input features with equal relevance may not be effective. We introduce an algorithm that...
Carlotta Domeniconi, Dimitris Papadopoulos, Dimitr...
ICCV
2005
IEEE
16 years 5 months ago
On-Line Density-Based Appearance Modeling for Object Tracking
Object tracking is a challenging problems in real-time computer vision due to variations of lighting condition, pose, scale, and view-point over time. However, it is exceptionally...
Bohyung Han, Larry S. Davis
117
Voted
USENIX
2003
15 years 5 months ago
Kernel Support for Faster Web Proxies
This paper proposes two mechanisms for reducing the communication-related overheads of Web applications. One mechanism is user-level connection tracking, which allows an applicati...
Marcel-Catalin Rosu, Daniela Rosu
196
Voted
IH
2007
Springer
15 years 9 months ago
Soft Feature-Based Watermark Decoding with Insertion/Deletion Correction
Abstract. Hard decisions constitute the major problem in digital watermarking applications, especially when content adaptive embedding methods are used. Soft-decision decoding, on ...
Mathias Schlauweg, Dima Pröfrock, Erika M&uum...