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» L0 sparse graphical modeling
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DCC
2001
IEEE
14 years 7 months ago
Compression of the Layered Depth Image
A layered depth image (LDI) is a new popular representation and rendering method for objects with complex geometries. Similar to a 2D image, the LDI consists of an array of pixels...
Jiangang Duan, Jin Li
ADS
2004
Springer
13 years 11 months ago
From Emotion to Interaction: Lessons from Real Human-Machine-Dialogues
The monitoring of emotional user states can help to assess the progress of human-machine-communication. If we look at specific databases, however, we are faced with several problem...
Anton Batliner, Christian Hacker, Stefan Steidl, E...
CORR
2010
Springer
168views Education» more  CORR 2010»
13 years 6 months ago
Gaussian Process Structural Equation Models with Latent Variables
In a variety of disciplines such as social sciences, psychology, medicine and economics, the recorded data are considered to be noisy measurements of latent variables connected by...
Ricardo Silva
DCC
2007
IEEE
14 years 7 months ago
Spatial Sparsity Induced Temporal Prediction for Hybrid Video Compression
In this paper we propose a new motion compensated prediction technique that enables successful predictive encoding during fades, blended scenes, temporally decorrelated noise, and...
Gang Hua, Onur G. Guleryuz
SIGGRAPH
1996
ACM
13 years 12 months ago
Modeling and Rendering Architecture from Photographs: A Hybrid Geometry- and Image-Based Approach
We present a new approach for modeling and rendering existing architectural scenes from a sparse set of still photographs. Our modeling approach, which combines both geometry-base...
Paul E. Debevec, Camillo J. Taylor, Jitendra Malik