Sciweavers

184 search results - page 20 / 37
» Cascaded online boosting
Sort
View
ISCAS
2005
IEEE
141views Hardware» more  ISCAS 2005»
14 years 1 months ago
Fast-scale instability of single-stage power-factor-correction power supplies
Abstract— This paper describes the fast-scale bifurcation phenomena of a single-stage power-factor-correction (PFC) power supply which is commonly used in low power applications....
Xiaoqun Wu, Chi Kong Tse, Octavian Dranga, Junan L...
DAGM
2007
Springer
13 years 11 months ago
Greedy-Based Design of Sparse Two-Stage SVMs for Fast Classification
Cascades of classifiers constitute an important architecture for fast object detection. While boosting of simple (weak) classifiers provides an established framework, the design of...
Rezaul Karim, Martin Bergtholdt, Jörg H. Kapp...
JMLR
2010
130views more  JMLR 2010»
13 years 2 months ago
MOA: Massive Online Analysis, a Framework for Stream Classification and Clustering
Massive Online Analysis (MOA) is a software environment for implementing algorithms and running experiments for online learning from evolving data streams. MOA is designed to deal...
Albert Bifet, Geoff Holmes, Bernhard Pfahringer, P...
ICCV
2009
IEEE
15 years 17 days ago
Is a detector only good for detection?
A common design of an object recognition system has two steps, a detection step followed by a foreground withinclass classification step. For example, consider face detection by...
Quan Yuan and Stan Sclaroff
ICIP
2009
IEEE
13 years 5 months ago
Cat face detection with two heterogeneous features
In this paper, we propose a generic and efficient object detection framework based on two heterogeneous features and demonstrate effectiveness of our method for a cat face detecti...
Tatsuo Kozakaya, Satoshi Ito, Susumu Kubota, Osamu...