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» A System for Object Class Detection
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ICCV
2009
IEEE
15 years 2 months ago
Incremental Multiple Kernel Learning for object recognition
A good training dataset, representative of the test images expected in a given application, is critical for ensuring good performance of a visual categorization system. Obtaining ...
Aniruddha Kembhavi, Behjat Siddiquie, Roland Miezi...
IJCNN
2006
IEEE
15 years 10 months ago
An Exhaustive Search Strategy for Detecting Persons in Beach Scenes using Digital Video Imagery and Neural Network-based Classif
Abstract— This paper presents an investigation of a neuralbased technique for detecting and quantifying persons in beach imagery for the purpose of predicting trends of tourist a...
Steve Green, Michael Blumenstein
CGF
2010
210views more  CGF 2010»
15 years 4 months ago
Fast and Scalable CPU/GPU Collision Detection for Rigid and Deformable Surfaces
We present a new hybrid CPU/GPU collision detection technique for rigid and deformable objects based on spatial subdivision. Our approach efficiently exploits the massive computat...
Simon Pabst, Artur Koch, Wolfgang Straßer
ISCAS
2007
IEEE
122views Hardware» more  ISCAS 2007»
15 years 10 months ago
Multi-Channel Coherent Detection for Delay-Insensitive Model-Free Adaptive Control
— A mixed-signal architecture for continuous-time multidimensional model-free optimization is presented. It is based on multi-channel coherent modulation and detection that relia...
Dimitrios N. Loizos, Paul-Peter Sotiriadis, Gert C...
CVPR
2011
IEEE
14 years 11 months ago
Learning and Matching Multiscale Template Descriptors for Real-Time Detection, Localization and Tracking
We describe a system to learn an object template from a video stream, and localize and track the corresponding object in live video. The template is decomposed into a number of lo...
Taehee Lee, Stefano Soatto