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CVPR
2009
IEEE
1390views Computer Vision» more  CVPR 2009»
17 years 1 months ago
Stacks of Convolutional Restricted Boltzmann Machines for Shift-Invariant Feature Learning
In this paper we present a method for learning classspecific features for recognition. Recently a greedy layerwise procedure was proposed to initialize weights of deep belief ne...
Mohammad Norouzi (Simon Fraser University), Mani R...
CVPR
2000
IEEE
16 years 8 months ago
Recognizing Upper Face Action Units for Facial Expression Analysis
We develop an automatic system to analyze subtle changes in upper face expressions based on both permanent facial features (brows, eyes, mouth)andtransient facial features (deepen...
Ying-li Tian, Takeo Kanade, Jeffrey F. Cohn
ICIP
2004
IEEE
16 years 8 months ago
Motion-based shape error concealment for object-based video
In this paper, an original motion-based shape error concealment technique, especially useful for object-based video applications in error-prone environments such as mobile network...
Luis Ducla Soares, Fernando Pereira
ICDE
1997
IEEE
92views Database» more  ICDE 1997»
16 years 8 months ago
Distributing Semantic Constraints Between Heterogeneous Databases
In recent years, research about distributing databases over networks has become increasingly important. Here we concentrate on the issues of interoperability of heterogeneous DBMS...
Stefan Grufman, Fredrik Samson, Suzanne M. Embury,...
ICPR
2006
IEEE
16 years 7 months ago
Event Recognition with Fragmented Object Tracks
Complete and accurate video tracking is very difficult to achieve in practice due to long occlusions, traffic clutter, shadows and appearance changes. In this paper, we study the ...
Anthony Hoogs, Gianfranco Doretto, John Schmiedere...
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