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» Metrics for Evaluating Database Selection Techniques
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67
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ACSC
2002
IEEE
15 years 3 months ago
Learning and the Reflective Journal in Computer Science
This paper describes the use of the reflective journal in a computer programming course at the University of South Australia. We describe rationale for the journal relating it to ...
S. E. George
108
Voted
KDD
2012
ACM
186views Data Mining» more  KDD 2012»
13 years 21 days ago
Maximum inner-product search using cone trees
The problem of efficiently finding the best match for a query in a given set with respect to the Euclidean distance or the cosine similarity has been extensively studied. However...
Parikshit Ram, Alexander G. Gray
ICASSP
2010
IEEE
14 years 10 months ago
Voice activity detection using harmonic frequency components in likelihood ratio test
This paper proposes a new statistical model-based likelihood ratio test (LRT) VAD to obtain reliable speech / non-speech decisions. In the proposed method, the likelihood ratio (L...
Lee Ngee Tan, Bengt J. Borgstrom, Abeer Alwan
157
Voted
SIGMOD
2006
ACM
150views Database» more  SIGMOD 2006»
15 years 10 months ago
On-the-fly sharing for streamed aggregation
Data streaming systems are becoming essential for monitoring applications such as financial analysis and network intrusion detection. These systems often have to process many simi...
Sailesh Krishnamurthy, Chung Wu, Michael J. Frankl...
113
Voted
ICDE
2012
IEEE
246views Database» more  ICDE 2012»
13 years 21 days ago
HiCS: High Contrast Subspaces for Density-Based Outlier Ranking
—Outlier mining is a major task in data analysis. Outliers are objects that highly deviate from regular objects in their local neighborhood. Density-based outlier ranking methods...
Fabian Keller, Emmanuel Müller, Klemens B&oum...