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GECCO
2010
Springer
232views Optimization» more  GECCO 2010»
15 years 7 months ago
Genetic algorithms for automatic classification of moving objects
This paper presents an integrated approach, combining a state-of-the-art commercial object detection system and genetic algorithms (GA)-based learning for automatic object classif...
Omid David-Tabibi, Nathan S. Netanyahu, Yoav Rosen...
ACCV
2010
Springer
15 years 1 months ago
One-Class Classification with Gaussian Processes
Detecting instances of unknown categories is an important task for a multitude of problems such as object recognition, event detection, and defect localization. This paper investig...
Michael Kemmler, Erik Rodner, Joachim Denzler
ICDAR
2009
IEEE
15 years 3 months ago
A Novel Two Stage Evaluation Methodology for Word Segmentation Techniques
Word segmentation is a critical stage towards word and character recognition as well as word spotting and mainly concerns two basic aspects, distance computation and gap classific...
Georgios Louloudis, Nikolaos Stamatopoulos, Basili...
HPCA
2006
IEEE
16 years 6 months ago
CORD: cost-effective (and nearly overhead-free) order-recording and data race detection
Chip-multiprocessors are becoming the dominant vehicle for general-purpose processing, and parallel software will be needed to effectively utilize them. This parallel software is ...
Milos Prvulovic
CVPR
2001
IEEE
16 years 8 months ago
Feature Reduction and Hierarchy of Classifiers for Fast Object Detection in Video Images
We present a two-step method to speed-up object detection systems in computer vision that use Support Vector Machines (SVMs) as classifiers. In a first step we perform feature red...
Bernd Heisele, Thomas Serre, Sayan Mukherjee, Toma...