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» Real-Time Tracking Using Multiple Target Models
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82
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NOLISP
2007
Springer
15 years 7 months ago
Trajectory Mixture Density Networks with Multiple Mixtures for Acoustic-Articulatory Inversion
We have previously proposed a trajectory model which is based on a mixture density network (MDN) trained with target variables augmented with dynamic features together with an algo...
Korin Richmond
135
Voted
TSMC
2010
14 years 7 months ago
A Biologically Inspired Sensor Wakeup Control Method for Wireless Sensor Networks
-- This paper presents an artificial ant-colony approach to distributed sensor wakeup control in wireless sensor networks (WSN) to accomplish the joint task of surveillance and tar...
Yan Liang, Jiannong Cao, Lei Zhang 0006, Rui Wang,...
99
Voted
ISVC
2007
Springer
15 years 7 months ago
A Vision-Based Architecture for Intent Recognition
Abstract. Understanding intent is an important aspect of communication among people and is an essential component of the human cognitive system. This capability is particularly rel...
Alireza Tavakkoli, Richard Kelley, Christopher Kin...
ECCV
2010
Springer
15 years 1 months ago
MIForests: Multiple-Instance Learning with Randomized Trees
Abstract. Multiple-instance learning (MIL) allows for training classifiers from ambiguously labeled data. In computer vision, this learning paradigm has been recently used in many ...
Christian Leistner, Amir Saffari, Horst Bischof
141
Voted
DICTA
2009
15 years 1 months ago
Improved Simultaneous Computation of Motion Detection and Optical Flow for Object Tracking
Abstract--Object tracking systems require accurate segmentation of the objects from the background for effective tracking. Motion segmentation or optical flow can be used to segmen...
Simon Denman, Clinton Fookes, Sridha Sridharan