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ICPR
2010
IEEE
13 years 6 months ago
Improving Classification Accuracy by Comparing Local Features through Canonical Correlations
Classifying images using features extracted from densely sampled local patches has enjoyed significant success in many detection and recognition tasks. It is also well known that ...
Mert Dikmen, Thomas S. Huang
ICMLA
2009
13 years 6 months ago
Learning Deep Neural Networks for High Dimensional Output Problems
State-of-the-art pattern recognition methods have difficulty dealing with problems where the dimension of the output space is large. In this article, we propose a new framework ba...
Benjamin Labbé, Romain Hérault, Cl&e...
CORR
2011
Springer
178views Education» more  CORR 2011»
13 years 3 months ago
Evaluation of Three Vision Based Object Perception Methods for a Mobile Robot
This paper addresses object perception applied to mobile robotics. Being able to perceive semantically meaningful objects in unstructured environments is a key capability in order...
Arnau Ramisa, David Aldavert, Shrihari Vasudevan, ...
CORR
2011
Springer
167views Education» more  CORR 2011»
13 years 21 days ago
The weak password problem: chaos, criticality, and encrypted p-CAPTCHAs
- Vulnerabilities related to weak passwords are a pressing global economic and security issue. We report a novel, simple, and effective approach to address the weak password probl...
T. V. Laptyeva, S. Flach, K. Kladko
ICASSP
2011
IEEE
13 years 20 days ago
Feature selection through gravitational search algorithm
In this paper we deal with the problem of feature selection by introducing a new approach based on Gravitational Search Algorithm (GSA). The proposed algorithm combines the optimi...
João Paulo Papa, Andre Pagnin, Silvana Arti...