Statistical methods, such as independent component analysis, have been successful in learning local low-level features from natural image data. Here we extend these methods for le...
Compressive sensing (CS) is a new signal acquisition technique for sparse and compressible signals. Rather than uniformly sampling the signal, CS computes inner products with rand...
Indoor spaces pose many challenges for spatial information systems, amongst them appropriate spatial communication. Compared to typical outdoor spaces, indoor spaces are clustered...
Kai-Florian Richter, Stephan Winter, Urs-Jakob R&u...
Instruction-Set Simulators (ISS) are indispensable tools for studying new architectures. There are several alternatives to achieve instruction set simulation, such as interpretive...
Jiajia Song, HongWei Hao, Claude Helmstetter, Vani...
In this paper, we formulate the problem of summarization of a dataset of transactions with categorical attributes as an optimization problem involving two objective functions - co...