We propose a new transductive learning algorithm for learning optimal linear representations that utilizes unlabeled data. We pose the problem of learning linear representations a...
Abstract— We describe a model for planar distributed assembly, in which agents move randomly and independently on a twodimensional grid, joining square blocks together to form a ...
Abstract— In this paper, we propose a sub-operation parallelism optimization algorithm in SIMD processor synthesis. Given an initial assembly code and timing constraints, our alg...
Abstract. We present a parameterized approximation scheme for distributed combinatorial optimization problems based on dynamic programming. The algorithm is a utility propagation m...
Abstract. In ad hoc sensor networks, sensor nodes have very limited energy resources, thus energy consuming operations such as data collection, transmission and reception must be k...
Xiaoling Wu, Shu Lei, Jie Yang, Hui Xu, Jinsung Ch...