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» Effective Multiple Vector Quantization for Image Compression
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CVPR
2009
IEEE
16 years 4 months ago
Boosted Multi-Task Learning for Face Verification With Applications to Web Image and Video Search
Face verification has many potential applications including filtering and ranking image/video search results on celebrities. Since these images/videos are taken under uncontrolle...
Xiaogang Wang (MIT), Cha Zhang (Microsoft Research...
CIMAGING
2010
202views Hardware» more  CIMAGING 2010»
14 years 11 months ago
An optimal algorithm for reconstructing images from binary measurements
We have studied a camera with a very large number of binary pixels referred to as the gigavision camera [1] or the gigapixel digital film camera [2, 3]. Potential advantages of th...
Feng Yang, Yue M. Lu, Luciano Sbaiz, Martin Vetter...
TNN
2008
178views more  TNN 2008»
14 years 9 months ago
IMORL: Incremental Multiple-Object Recognition and Localization
This paper proposes an incremental multiple-object recognition and localization (IMORL) method. The objective of IMORL is to adaptively learn multiple interesting objects in an ima...
Haibo He, Sheng Chen
ICCAD
2004
IEEE
101views Hardware» more  ICCAD 2004»
15 years 6 months ago
Frugal linear network-based test decompression for drastic test cost reductions
— In this paper we investigate an effective approach to construct a linear decompression network in the multiple scan chain architecture. A minimal pin architecture, complemented...
Wenjing Rao, Alex Orailoglu, G. Su
CVPR
2009
IEEE
16 years 4 months ago
Let the Kernel Figure it Out; Principled Learning of Pre-processing for Kernel Classifiers
Most modern computer vision systems for high-level tasks, such as image classification, object recognition and segmentation, are based on learning algorithms that are able to se...
Peter V. Gehler, Sebastian Nowozin