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» Sparse Coding in Sparse Winner Networks
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Book
519views
15 years 6 months ago
Information Theory, Inference, and Learning Algorithms
This book is aimed at senior undergraduates and graduate students in Engineering, Science, Mathematics, and Computing. It expects familiarity with calculus, probability theory, and...
David J. C. MacKay
ICML
2009
IEEE
14 years 8 months ago
Large-scale deep unsupervised learning using graphics processors
The promise of unsupervised learning methods lies in their potential to use vast amounts of unlabeled data to learn complex, highly nonlinear models with millions of free paramete...
Rajat Raina, Anand Madhavan, Andrew Y. Ng
GLOBECOM
2010
IEEE
13 years 5 months ago
Compressive Data Persistence in Large-Scale Wireless Sensor Networks
This paper considers a large-scale wireless sensor network where sensor readings are occasionally collected by a mobile sink, and sensor nodes are responsible for temporarily stori...
Mu Lin, Chong Luo, Feng Liu, Feng Wu
ICANNGA
2007
Springer
191views Algorithms» more  ICANNGA 2007»
14 years 2 months ago
Novel Multi-layer Non-negative Tensor Factorization with Sparsity Constraints
In this paper we present a new method of 3D non-negative tensor factorization (NTF) that is robust in the presence of noise and has many potential applications, including multi-way...
Andrzej Cichocki, Rafal Zdunek, Seungjin Choi, Rob...
JSAC
2011
185views more  JSAC 2011»
13 years 2 months ago
Joint Dynamic Resource Allocation and Waveform Adaptation for Cognitive Networks
This paper investigates the issue of dynamic resource allocation (DRA) in the context of multiuser cognitive radio networks. We present a general framework adopting generalized si...
Zhi Tian, Geert Leus, Vincenzo Lottici