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CORR
2011
Springer
259views Education» more  CORR 2011»
14 years 8 months ago
The Pros and Cons of Compressive Sensing for Wideband Signal Acquisition: Noise Folding vs. Dynamic Range
Compressive sensing (CS) exploits the sparsity present in many common signals to reduce the number of measurements needed for digital acquisition. With this reduction would come, ...
Mark A. Davenport, Jason N. Laska, John R. Treichl...
SIGIR
2008
ACM
15 years 1 months ago
Learning from labeled features using generalized expectation criteria
It is difficult to apply machine learning to new domains because often we lack labeled problem instances. In this paper, we provide a solution to this problem that leverages domai...
Gregory Druck, Gideon S. Mann, Andrew McCallum
KDD
2007
ACM
165views Data Mining» more  KDD 2007»
16 years 2 months ago
Efficient and effective explanation of change in hierarchical summaries
Dimension attributes in data warehouses are typically hierarchical (e.g., geographic locations in sales data, URLs in Web traffic logs). OLAP tools are used to summarize the measu...
Deepak Agarwal, Dhiman Barman, Dimitrios Gunopulos...
KDD
2008
ACM
244views Data Mining» more  KDD 2008»
16 years 2 months ago
Probabilistic latent semantic visualization: topic model for visualizing documents
We propose a visualization method based on a topic model for discrete data such as documents. Unlike conventional visualization methods based on pairwise distances such as multi-d...
Tomoharu Iwata, Takeshi Yamada, Naonori Ueda
ATS
2000
IEEE
145views Hardware» more  ATS 2000»
15 years 6 months ago
Compaction-based test generation using state and fault information
We present a new test generation procedure for sequential circuits using newly traversed state and newly detected fault information obtained between successive iterations of vecto...
Ashish Giani, Shuo Sheng, Michael S. Hsiao, Vishwa...