We studied a method using support vector machines (SVMs) with walk-based graph kernels for the high-level feature extraction (HLF) task. In this method, each image is first segmen...
This paper formalizes Feature Selection as a Reinforcement Learning problem, leading to a provably optimal though intractable selection policy. As a second contribution, this pape...
We characterize truthful mechanisms in two multi-parameter domains. The first characterization shows that every mechanism for combinatorial auctions with two subadditive bidders t...
Early power analysis for systems-on-chip (SoC) is crucial for determining the appropriate packaging and cost. This early analysis commonly relies on evaluating power formulas for ...
We present an algorithm for on-line, incremental discovery of temporal-difference (TD) networks. The key contribution is the establishment of three criteria to expand a node in TD...