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NIPS
1998
13 years 10 months ago
Approximate Learning of Dynamic Models
Inference is a key component in learning probabilistic models from partially observable data. When learning temporal models, each of the many inference phases requires a complete ...
Xavier Boyen, Daphne Koller
AROBOTS
2002
131views more  AROBOTS 2002»
13 years 8 months ago
Automated Derivation of Primitives for Movement Classification
Abstract. We describe a new method for representing human movement compactly, in terms of a linear superimposition of simpler movements termed primitives. This method is a part of ...
Ajo Fod, Maja J. Mataric, Odest Chadwicke Jenkins
PR
2008
159views more  PR 2008»
13 years 8 months ago
Feature fusion of side face and gait for video-based human identification
Video-based human recognition at a distance remains a challenging problem for the fusion of multimodal biometrics. As compared to the approach based on match score level fusion, i...
Xiaoli Zhou, Bir Bhanu
HICSS
2007
IEEE
132views Biometrics» more  HICSS 2007»
14 years 2 months ago
Modeling the Economic Cost of Transmission Bottlenecks
— The purpose of this paper is to model the stochastic behavior of nodal prices and use the predicted price differences between zones as the basis for measuring the magnitude and...
Timothy D. Mount, Jaeuk Ju
DOCENG
2003
ACM
14 years 1 months ago
Using SVG as the rendering model for structured and graphically complex web material
This paper reports some experiments in using SVG (Scalable Vector Graphics), rather than the browser default of (X)HTML/CSS, as a potential Web-based rendering technology, in an a...
Julius C. Mong, David F. Brailsford