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NIPS
2007
15 years 6 months ago
Sparse Feature Learning for Deep Belief Networks
Unsupervised learning algorithms aim to discover the structure hidden in the data, and to learn representations that are more suitable as input to a supervised machine than the ra...
Marc'Aurelio Ranzato, Y-Lan Boureau, Yann LeCun
TIFS
2008
142views more  TIFS 2008»
15 years 4 months ago
An FPGA-Based Network Intrusion Detection Architecture
Abstract--Network intrusion detection systems (NIDSs) monitor network traffic for suspicious activity and alert the system or network administrator. With the onset of gigabit netwo...
Abhishek Das, David Nguyen, Joseph Zambreno, Gokha...
JIIS
2002
130views more  JIIS 2002»
15 years 4 months ago
Image Mining: Trends and Developments
Advances in image acquisition and storage technology have led to tremendous growth in very large and detailed image databases. These images, if analyzed, can reveal useful informa...
Wynne Hsu, Mong-Li Lee, Ji Zhang
JPDC
2010
106views more  JPDC 2010»
15 years 3 months ago
Feedback-directed page placement for ccNUMA via hardware-generated memory traces
Non-uniform memory architectures with cache coherence (ccNUMA) are becoming increasingly common, not just for large-scale high performance platforms but also in the context of mul...
Jaydeep Marathe, Vivek Thakkar, Frank Mueller
TMC
2011
158views more  TMC 2011»
14 years 12 months ago
Explicit Congestion Control Algorithms for Time Varying Capacity Media
—Explicit congestion control (XCC) is emerging as one potential solution for overcoming limitations inherent to the current TCP algorithm, characterized by unstable throughput, h...
Filipe Abrantes, João Taveira Araujo, Manue...