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» Objective Functions for Feature Discrimination
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ICPR
2006
IEEE
16 years 4 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
MMM
2009
Springer
123views Multimedia» more  MMM 2009»
15 years 11 months ago
A Multimodal Constellation Model for Object Category Recognition
Object category recognition in various appearances is one of the most challenging task in the object recognition research fields. The major approach to solve the task is using the...
Yasunori Kamiya, Tomokazu Takahashi, Ichiro Ide, H...
129
Voted
DEXA
2000
Springer
99views Database» more  DEXA 2000»
15 years 7 months ago
The BORD Benchmark for Object-Relational Databases
This paper describes a new benchmark for object-relational DBMSs, the Benchmark for Object-Relational Databases (BORD). BORD has been developed to evaluate system performance pecul...
Sang Ho Lee, Sung Jin Kim, Won Kim
ICASSP
2010
IEEE
15 years 3 months ago
Multi-View Object Detection by Classifier Interpolation
In this paper, we propose a novel solution for multi-view object detection. Given a set of training examples at different views, we select examples at a few key views and train on...
Xiaobai Liu, Haifeng Gong, Shuicheng Yan, Hai Jin
CVIU
2004
155views more  CVIU 2004»
15 years 2 months ago
Object of interest-based visual navigation, retrieval, and semantic content identification system
This study presents a content-based image retrieval system IMALBUM based on local region of interest called object of interest (OOI). Each segmented or user-selected OOI is indexe...
Khalid Idrissi, Guillaume Lavoué, Julien Ri...