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A new statistical model for routing of gate arrays is described. The model takes into consideration the effect of gate utilization on wiring area requirement. Model computed wiring area estimates sugg...
Statistical Model of Hot-Carrier Degradation and Lifetime Prediction for P-MOS Transistors
Hot-carrier P-MOS transistor lifetime prediction
2009/7/28
Along with advances in microelectronics, and computer and space technologies, device dimensions are becoming smaller; as a result, hot-carrier effect, lifetime prediction, and reliability become more ...
Statistical Model, Analysis and Approximation of Rate-Distortion Function in MPEG-4 FGS Videos
Statistical Model Analysis Approximation Rate-Distortion Function in MPEG-4 FGS Videos
2006/12/31
In this paper, we propose an object detection approach using spatial histogram features. As spatial histograms consist of marginal distributions of an image over local patches, they can preserve textu...
Statistical Model, Analysis and Approximation of Rate-Distortion Function in MPEG-4 FGS Videos
Statistical Model Rate-Distortion Function MPEG-4 FGS Videos
2005/12/31
Fine-granular scalability (FGS) has been accepted as the streaming profile of MPEG-4 to provide a flexible foundation for scaling the enhancement layer (EL) to accommodate variable network capacity. T...
Local Gabor Binary Pattern Histogram Sequence (LGBPHS): A Novel Non-Statistical Model for Face Representation and Recognition
Local Gabor Binary Pattern Histogram Sequence Novel Non-Statistical Model
2005/12/31
For years, researchers in face recognition area have been representing and recognizing faces based on subspace discriminant analysis or statistical learning.Nevertheless, these approaches are always s...
Local Gabor Binary Pattern Histogram Sequence (LGBPHS): A Novel Non-Statistical Model for Face Representation and Recognition
Local Gabor Binary Pattern Histogram Sequence A Novel Non-Statistical Model Face Representation Recognition
2005/7/23
For years, researchers in face recognition area have been representing and recognizing faces based on subspace discriminant analysis or statistical learning.
Nevertheless, these approaches are alway...