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NIPS
1998
15 years 4 months ago
Coding Time-Varying Signals Using Sparse, Shift-Invariant Representations
A common way to represent a time series is to divide it into shortduration blocks, each of which is then represented by a set of basis functions. A limitation of this approach, ho...
Michael S. Lewicki, Terrence J. Sejnowski
ICIP
2006
IEEE
16 years 4 months ago
On the Information Rate of the Plenoptic Function
We study the compression problem of visual scenes acquired with a camera for transmission or storage. Our proposed model is general and includes two well-known cases: that of vide...
Arthur L. da Cunha, Minh N. Do, Martin Vetterli
ICML
2007
IEEE
16 years 3 months ago
Simple, robust, scalable semi-supervised learning via expectation regularization
Although semi-supervised learning has been an active area of research, its use in deployed applications is still relatively rare because the methods are often difficult to impleme...
Gideon S. Mann, Andrew McCallum
CRV
2005
IEEE
208views Robotics» more  CRV 2005»
15 years 8 months ago
Topology Inference for a Vision-Based Sensor Network
In this paper we describe a technique to infer the topology and connectivity information of a network of cameras based on observed motion in the environment. While the technique c...
Dimitri Marinakis, Gregory Dudek
DAGM
2005
Springer
15 years 8 months ago
A System for Marker-Less Human Motion Estimation
Abstract. In this contribution we present a silhouette based human motion estimation system. The system components contain silhouette extraction based on level sets, a corresponden...
Bodo Rosenhahn, Uwe G. Kersting, Andrew W. Smith, ...