GOP-level bit allocation using reverse dynamic programming
نویسندگان
چکیده
منابع مشابه
Optimal Asset Allocation using Adaptive Dynamic Programming
In recent years, the interest of investors has shifted to computerized asset allocation (portfolio management) to exploit the growing dynamics of the capital markets. In this paper, asset allocation is formalized as a Markovian Decision Problem which can be optimized by applying dynamic programming or reinforcement learning based algorithms. Using an artificial exchange rate, the asset allocati...
متن کاملBit-Level Object-Oriented Programming
Object-oriented programming languages have always distinguished between \primitives" and \user-deened" data types, and in the case of languages like C++ and Java, the prim-itives are not even treated as objects, further fragmenting the programming model. Meanwhile, hardware design languages like VHDL and Verilog provide extensive bit-level facilities but lack the abstraction capabilities of obj...
متن کاملDynamic Asset Allocation Strategies Using a Stochastic Dynamic Programming Approach∗
A major investment decision for individual and institutional investors alike is to choose between different asset classes, i.e., equity investments and interest-bearing investments. The asset allocation decision determines the ultimate risk and return of a portfolio. The asset allocation problem is frequently addressed either through a static analysis, based on Markowitz’ mean-variance model, o...
متن کاملVery low bit-rate color video coding using adaptive subband vector quantization with dynamic bit allocation
In this correspondence a novel adaptive VQ based subband coding scheme for very low bit rate coding of video sequences is presented. Overlapped block motion estimation/compensation is employed to exploit interframe redundancy. A 2D wavelet transform (WT) is applied to the resulting displaced frame diierence (DFD) signal. The WT coeecients are encoded using an adaptive subband vector quantizatio...
متن کاملEfficient Allocation of Marketing Resources using Dynamic Programming
In this paper we address the following question: how to estimate a Markov Decision Process modeling the dynamics of customer relationships. Once the model is estimated, we discuss how to efficiently allocate marketing resources and instruments in order to maximize the long-term value generated by customers in a given future time horizon using dynamic programming. Our methodology allows us both ...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Tsinghua Science and Technology
سال: 2009
ISSN: 1007-0214
DOI: 10.1016/s1007-0214(09)70028-8