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HUC
2003
Springer
16 years 13 hour ago
Inferring High-Level Behavior from Low-Level Sensors
Abstract. We present a method of learning a Bayesian model of a traveler moving through an urban environment. This technique is novel in that it simultaneously learns a unified mo...
Donald J. Patterson, Lin Liao, Dieter Fox, Henry A...
WAIM
2010
Springer
15 years 12 months ago
Semi-supervised Learning from Only Positive and Unlabeled Data Using Entropy
Abstract. The problem of classification from positive and unlabeled examples attracts much attention currently. However, when the number of unlabeled negative examples is very sma...
Xiaoling Wang, Zhen Xu, Chaofeng Sha, Martin Ester...
COOPIS
2002
IEEE
15 years 11 months ago
Open Mind Common Sense: Knowledge Acquisition from the General Public
Abstract. Open Mind Common Sense is a knowledge acquisition system designed to acquire commonsense knowledge from the general public over the web. We describe and evaluate our firs...
Push Singh, Thomas Lin, Erik T. Mueller, Grace Lim...
IEEEMSP
2002
IEEE
15 years 11 months ago
Rate-distortion optimized streaming from the edge of the network
Abstract—This paper addresses the problem of streaming packetized media over a lossy packet network through an intermediate proxy server to a client, in a rate-distortion optimiz...
Jacob Chakareski, Philip A. Chou, Bernd Girod
CIARP
2009
Springer
15 years 11 months ago
Neural Network Ensembles from Training Set Expansions
Abstract. In this work we propose a new method to create neural network ensembles. Our methodology develops over the conventional technique of bagging, where multiple classifiers ...
Debrup Chakraborty