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SIAMJO
2010
133views more  SIAMJO 2010»
13 years 7 months ago
Infeasibility Detection and SQP Methods for Nonlinear Optimization
This paper addresses the need for nonlinear programming algorithms that provide fast local convergence guarantees no matter if a problem is feasible or infeasible. We present an a...
Richard H. Byrd, Frank E. Curtis, Jorge Nocedal
JUCS
2006
185views more  JUCS 2006»
13 years 9 months ago
The Berlin Brain-Computer Interface: Machine Learning Based Detection of User Specific Brain States
We outline the Berlin Brain-Computer Interface (BBCI), a system which enables us to translate brain signals from movements or movement intentions into control commands. The main co...
Benjamin Blankertz, Guido Dornhege, Steven Lemm, M...
SUTC
2006
IEEE
14 years 3 months ago
Detecting the Direction of Motion in a Binary Sensor Network
We examine the problem of detecting the direction of motion in a binary sensor network; in such a network each sensor’s value is supplied reliably in a single bit of information...
Panagiotis Karras, Nikos Mamoulis
ICMCS
2005
IEEE
108views Multimedia» more  ICMCS 2005»
14 years 2 months ago
Robust learning-based TV commercial detection
A robust learning-based TV commercial detection approach is proposed in this paper. Firstly a set of basic features that facilitate distinguishing commercials from general program...
Xian-Sheng Hua, Lie Lu, Hong-Jiang Zhang
ICIP
2009
IEEE
14 years 10 months ago
Detecting Contextual Anomalies Of Crowd Motion In Surveillance Video
Many works have been proposed on detecting individual anomalies in crowd scenes, i.e., human behaviors anomalous with respect to the rest of the behaviors. In this paper, we intro...