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» Generating Object-Z Specifications from Use Cases
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ML
2010
ACM
163views Machine Learning» more  ML 2010»
14 years 10 months ago
Classification with guaranteed probability of error
We introduce a general-purpose learning machine that we call the Guaranteed Error Machine, or GEM, and two learning algorithms, a real GEM algorithm and an ideal GEM algorithm. Th...
Marco C. Campi
SIGIR
2012
ACM
13 years 6 months ago
Explanatory semantic relatedness and explicit spatialization for exploratory search
Exploratory search, in which a user investigates complex concepts, is cumbersome with today’s search engines. We present a new exploratory search approach that generates interac...
Brent Hecht, Samuel Carton, Mahmood Quaderi, Johan...
113
Voted
HICSS
2009
IEEE
96views Biometrics» more  HICSS 2009»
15 years 10 months ago
The Potential of Renewable Energy to Reduce the Dependence of the State of Hawaii on Oil
Deriving nearly 90% of its primary energy resources from oil, the State of Hawaii is more dependent on oil than any other U.S. state. The price of electricity in Hawaii is also mo...
Doug Arent, John Barnett, Gail Mosey, Alison Wise
133
Voted
CORR
2010
Springer
136views Education» more  CORR 2010»
15 years 3 months ago
Maximum Bipartite Matching Size And Application to Cuckoo Hashing
Cuckoo hashing with a stash is a robust high-performance hashing scheme that can be used in many real-life applications. It complements cuckoo hashing by adding a small stash stor...
Josef Kanizo, David Hay, Isaac Keslassy
195
Voted
PAMI
2008
235views more  PAMI 2008»
15 years 3 months ago
Dependent Multiple Cue Integration for Robust Tracking
We propose a new technique for fusing multiple cues to robustly segment an object from its background in video sequences that suffer from abrupt changes of both illumination and po...
Francesc Moreno-Noguer, Alberto Sanfeliu, Dimitris...