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AAAI
1997
13 years 11 months ago
Effective Bayesian Inference for Stochastic Programs
In this paper, we propose a stochastic version of a general purpose functional programming language as a method of modeling stochastic processes. The language contains random choi...
Daphne Koller, David A. McAllester, Avi Pfeffer
CVPR
2011
IEEE
13 years 5 months ago
Learning Context for Collective Activity Recognition
In this paper we present a framework for the recognition of collective human activities. A collective activity is defined or reinforced by the existence of coherent behavior of i...
Wongun Choi, Silvio Savarese, Khuram Shahid
BMCBI
2004
143views more  BMCBI 2004»
13 years 10 months ago
Comparing functional annotation analyses with Catmap
Background: Ranked gene lists from microarray experiments are usually analysed by assigning significance to predefined gene categories, e.g., based on functional annotations. Tool...
Thomas Breslin, Patrik Edén, Morten Krogh
SASN
2006
ACM
14 years 4 months ago
RANBAR: RANSAC-based resilient aggregation in sensor networks
We present a novel outlier elimination technique designed for sensor networks. This technique is called RANBAR and it is based on the RANSAC (RANdom SAmple Consensus) paradigm, wh...
Levente Buttyán, Péter Schaffer, Ist...
CORR
2006
Springer
95views Education» more  CORR 2006»
13 years 10 months ago
Optimal Distortion-Power Tradeoffs in Gaussian Sensor Networks
We investigate the optimal performance of dense sensor networks by studying the joint source-channel coding problem. The overall goal of the sensor network is to take measurements ...
Nan Liu, Sennur Ulukus