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» Online Selection of Tracking Features using AdaBoost
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KDD
2004
ACM
209views Data Mining» more  KDD 2004»
16 years 4 months ago
Tracking dynamics of topic trends using a finite mixture model
In a wide range of business areas dealing with text data streams, including CRM, knowledge management, and Web monitoring services, it is an important issue to discover topic tren...
Satoshi Morinaga, Kenji Yamanishi
ICCV
2005
IEEE
15 years 9 months ago
Fusing Points and Lines for High Performance Tracking
This paper addresses the problem of real-time 3D modelbased tracking by combining point-based and edge-based tracking systems. We present a careful analysis of the properties of t...
Edward Rosten, Tom Drummond
GECCO
2009
Springer
128views Optimization» more  GECCO 2009»
15 years 8 months ago
Evolving stochastic processes using feature tests and genetic programming
The synthesis of stochastic processes using genetic programming is investigated. Stochastic process behaviours take the form of time series data, in which quantities of interest v...
Brian J. Ross, Janine H. Imada
FGR
2011
IEEE
268views Biometrics» more  FGR 2011»
14 years 7 months ago
Emotion recognition using PHOG and LPQ features
— We propose a method for automatic emotion recognition as part of the FERA 2011 competition [1] . The system extracts pyramid of histogram of gradients (PHOG) and local phase qu...
Abhinav Dhall, Akshay Asthana, Roland Goecke, Tom ...
ICPR
2008
IEEE
15 years 10 months ago
On-line boosted cascade for object detection
On-line boosting is a recent advancement in the field of machine learning that has opened a new spectrum of possibilities in many diverse fields. With respect to a static strong...
Ingrid Visentini, Lauro Snidaro, Gian Luca Foresti