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» A New Identification Scheme Based on the Perceptrons Problem
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ICIP
2006
IEEE
16 years 2 months ago
Knowledge-Based Supervised Learning Methods in a Classical Problem of Video Object Tracking
In this paper we present a new scheme for detection and tracking of specific objects in a knowledge-based framework. The scheme uses a supervised learning method: Support Vector M...
Lionel Carminati, Jenny Benois-Pineau, Christian J...
190
Voted
GIS
2007
ACM
16 years 1 months ago
Exploiting automatically inferred constraint-models for building identification in satellite imagery
The building identification (BID) problem is based on a process that uses publicly available information to automatically assign addresses to buildings in satellite imagery. In pr...
Martin Michalowski, Craig A. Knoblock, Kenneth M. ...
118
Voted
CIRA
2007
IEEE
136views Robotics» more  CIRA 2007»
15 years 6 months ago
Algebraic interval constraint driven exploration in human-agent collaborative problem solving
—To enable effective human-agent collaboration, new human-centric computing paradigms are needed. This paper presents a soft constraint representation scheme based on generalized...
Yan Wang
98
Voted
MICRO
2003
IEEE
70views Hardware» more  MICRO 2003»
15 years 5 months ago
Fast Path-Based Neural Branch Prediction
Microarchitectural prediction based on neural learning has received increasing attention in recent years. However, neural prediction remains impractical because its superior accur...
Daniel A. Jiménez
120
Voted
INFOCOM
1995
IEEE
15 years 4 months ago
Automatic Alarm Correlation for Fault Identification
In communication networks, a large number of alarms exist to signal any abnormal behavior of the network. As network faults typically result in a number of alarms, correlating the...
Isabelle Rouvellou, George W. Hart