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» Selectivity Estimation using Probabilistic Models
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CSDA
2006
102views more  CSDA 2006»
14 years 11 months ago
An improved Akaike information criterion for state-space model selection
Following the work of Hurvich, Shumway, and Tsai (1990), we propose an "improved" variant of the Akaike information criterion, AICi, for state-space model selection. The...
Thomas Bengtsson, Joseph E. Cavanaugh
GLVLSI
2007
IEEE
194views VLSI» more  GLVLSI 2007»
15 years 3 months ago
Probabilistic maximum error modeling for unreliable logic circuits
Reliability modeling and evaluation is expected to be one of the major issues in emerging nano-devices and beyond 22nm CMOS. Such devices would have inherent propensity for gate f...
Karthikeyan Lingasubramanian, Sanjukta Bhanja
ICCV
2003
IEEE
16 years 1 months ago
Controlling Model Complexity in Flow Estimation
This paper describes a novel application of Statistical Learning Theory (SLT) to control model complexity in flow estimation. SLT provides analytical generalization bounds suitabl...
Zoran Duric, Fayin Li, Harry Wechsler, Vladimir Ch...
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CVPR
2007
IEEE
16 years 1 months ago
3D Probabilistic Feature Point Model for Object Detection and Recognition
This paper presents a novel statistical shape model that can be used to detect and localise feature points of a class of objects in images. The shape model is inspired from the 3D...
Sami Romdhani, Thomas Vetter
NIPS
2004
15 years 1 months ago
Breaking SVM Complexity with Cross-Training
We propose to selectively remove examples from the training set using probabilistic estimates related to editing algorithms (Devijver and Kittler, 1982). This heuristic procedure ...
Gökhan H. Bakir, Léon Bottou, Jason We...