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ICPR
2006
IEEE
16 years 5 months ago
Object Localization Using Input/Output Recursive Neural Networks
Localizing objects in images is a difficult task and represents the first step to the solution of the object recognition problem. This paper presents a novel approach to the local...
Lorenzo Sarti, Marco Maggini, Monica Bianchini
SDM
2008
SIAM
114views Data Mining» more  SDM 2008»
15 years 6 months ago
Semi-Supervised Classification with Universum
The Universum data, defined as a collection of "nonexamples" that do not belong to any class of interest, have been shown to encode some prior knowledge by representing ...
Dan Zhang, Jingdong Wang, Fei Wang, Changshui Zhan...
CORR
2010
Springer
122views Education» more  CORR 2010»
15 years 4 months ago
How to meet asynchronously (almost) everywhere
Two mobile agents (robots) with distinct labels have to meet in an arbitrary, possibly infinite, unknown connected graph or in an unknown connected terrain in the plane. Agents ar...
Jurek Czyzowicz, Arnaud Labourel, Andrzej Pelc
ICMCS
2005
IEEE
162views Multimedia» more  ICMCS 2005»
15 years 10 months ago
Clustering of Video Objects by Graph Matching
We propose a new graph-based data structure, called Spatio Temporal Region Graph (STRG) which can represent the content of video sequence. Unlike existing ones which consider main...
JeongKyu Lee, Jung-Hwan Oh, Sae Hwang
ISM
2006
IEEE
129views Multimedia» more  ISM 2006»
15 years 4 months ago
A Graph-Based Approach for Modeling and Indexing Video Data
In this work, we propose new graph-based data model and indexing to organize and manage video data. To consider spatial and temporal characteristics of video, we introduce a new g...
JeongKyu Lee