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JMLR
2010
129views more  JMLR 2010»
13 years 2 months ago
Approximation of hidden Markov models by mixtures of experts with application to particle filtering
Selecting conveniently the proposal kernel and the adjustment multiplier weights of the auxiliary particle filter may increase significantly the accuracy and computational efficie...
Jimmy Olsson, Jonas Ströjby
CORR
2010
Springer
178views Education» more  CORR 2010»
13 years 7 months ago
Fast Histograms using Adaptive CUDA Streams
Histograms are widely used in medical imaging, network intrusion detection, packet analysis and other streambased high throughput applications. However, while porting such software...
Sisir Koppaka, Dheevatsa Mudigere, Srihari Narasim...
NIPS
1998
13 years 8 months ago
Using Analytic QP and Sparseness to Speed Training of Support Vector Machines
Training a Support Vector Machine (SVM) requires the solution of a very large quadratic programming (QP) problem. This paper proposes an algorithm for training SVMs: Sequential Mi...
John C. Platt
SC
2005
ACM
14 years 29 days ago
Making Sequential Consistency Practical in Titanium
The memory consistency model in parallel programming controls the order in which operations performed by one thread may be observed by another. Language designers have been reluct...
Amir Kamil, Jimmy Su, Katherine A. Yelick
CVPR
2004
IEEE
14 years 9 months ago
Incremental Density Approximation and Kernel-Based Bayesian Filtering for Object Tracking
Statistical density estimation techniques are used in many computer vision applications such as object tracking, background subtraction, motion estimation and segmentation. The pa...
Bohyung Han, Dorin Comaniciu, Ying Zhu, Larry S. D...