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» Queries and Constraints on Semi-structured Data
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87
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DAGM
2006
Springer
15 years 1 months ago
Handling Camera Movement Constraints in Reinforcement Learning Based Active Object Recognition
In real world scenes, objects to be classified are usually not visible from every direction, since they are almost always positioned on some kind of opaque plane. When moving a cam...
Christian Derichs, Heinrich Niemann
91
Voted
DASFAA
2007
IEEE
165views Database» more  DASFAA 2007»
15 years 1 months ago
Making the Most of Cache Groups
Cache groups are a powerful concept for database caching, which is used to relieve the backend database load and to keep referenced data close to the application programs at the &q...
Andreas Bühmann, Theo Härder
68
Voted
BTW
2007
Springer
121views Database» more  BTW 2007»
15 years 3 months ago
Algorithms for merged indexes
B-tree and index into two layers of abstraction. In addition, this paper provides algorithms for (i) concurrency control and recovery including locking of individual keys and of co...
Goetz Graefe
BIOSTEC
2008
148views Healthcare» more  BIOSTEC 2008»
14 years 11 months ago
Representing and Reasoning with Temporal Constraints in Clinical Trials Using Semantic Technologies
Clinical trial protocols include schedule of clinical trial activities such as clinical tests, procedures, and medications. The schedule specifies temporal constraints on the seque...
Ravi D. Shankar, Susana B. Martins, Martin J. O'Co...
SDM
2009
SIAM
193views Data Mining» more  SDM 2009»
15 years 6 months ago
Agglomerative Mean-Shift Clustering via Query Set Compression.
Mean-Shift (MS) is a powerful non-parametric clustering method. Although good accuracy can be achieved, its computational cost is particularly expensive even on moderate data sets...
Xiaotong Yuan, Bao-Gang Hu, Ran He