Graphical models are a marriage between probability theory and graph theory. They provide a natural tool for dealing with two problems that occur throughout applied mathematics and engineering { uncertainty and complexity { and in particular they ar
A new method for analysing nonlinear and non-stationary data has been developed. The key part of the method is the `empirical mode decomposition' method with which any complicated data set can be decomposed into a nite and often small number of `int
This book describes the Direct3D graphics pipeline, from presentation of scene data to pixels appearing on the screen. The book is organized sequentially following the data °ow through the pipeline from the application to the image displayed on the
David J. C. MacKay's book. The textbook used for the information theory course in Cambridge University. Also an excellent book for machine learning. The special feature of this book is it reveals the relationship between information theory and machi
This paper discusses ecient techniques for computing PageRank, a ranking met- ric for hypertext documents. We show that PageRank can be computed for very large subgraphs of the web (up to hundreds of millions of nodes) on machines with limited main
This paper proposes a novel scheme for video content-based copy identification dedicated to TV broadcast with a reference video database exceeding 1000 hours of video. It enables the monitoring of a TV channel in soft real-time with a good tolerance
In this paper, we examine a method for feature subset selection based on Information Theory. Initially, a framework for de ning the theoretically optimal, but computationally intractable, method for feature subset selection is presented. We show tha
google的大规模图形处理引擎 Pregel的论文 In this paper we present a computational model suitable for this task. Programs are expressed as a sequence of iterations, in each of which a vertex can receive messages sent in the previous iteration, send messages to oth
An ecient way of perfoming decimation and interpolation was introduced. Hogenauer devised a exible, multiplier-free lter suitable for hardware implementation, that can also handle arbitrary and large rate changes. These are known as cascaded integr
In this dissertation we propose priors and learning based methods for super- resolution and other video processing applications. We also propose efficient al- gorithms for global motion estimation and projection on L1 ball under box con- straints. We
Optimization models play an increasingly important role in ¯nancial de- cisions. Many computational ¯nance problems ranging from asset allocation to risk management, from option pricing to model calibration can be solved e±ciently using modern optim
The optimization process of a H.264/AVC encoder on three different architectures is presented. The architectures are multi- and singlecore and SIMD instruction sets have different vector registers size. The need of code optimization is fundamental whe
Optimization models play an increasingly important role in nancial de- cisions. Many computational nance problems ranging from asset allocation to risk management, from option pricing to model calibration can be solved eciently using modern optimiz
金融中的优化分析及算法; Optimization models play an increasingly important role in flnancial decisions. Many computational flnance problems ranging from asset allocation to risk management, from option pricing to model calibration can be solved e–ciently using
Many visual search and matching systems represent images using sparse sets of “visual words”: descr iptors that have been quantized by assignment to the best-matching symbol in a discrete vocabulary. Errors in this quantization procedure propagate t
