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» Fast k-Means Algorithms with Constant Approximation
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ALGORITHMICA
2005
195views more  ALGORITHMICA 2005»
13 years 6 months ago
Bit-Parallel Witnesses and Their Applications to Approximate String Matching
We present a new bit-parallel technique for approximate string matching. We build on two previous techniques. The first one, BPM [Myers, J. of the ACM, 1999], searches for a patte...
Heikki Hyyrö, Gonzalo Navarro
IJCAI
2007
13 years 7 months ago
Fast Incremental Square Root Information Smoothing
We propose a novel approach to the problem of simultaneous localization and mapping (SLAM) based on incremental smoothing, that is suitable for real-time applications in large-sca...
Michael Kaess, Ananth Ranganathan, Frank Dellaert
DATESO
2007
157views Database» more  DATESO 2007»
13 years 7 months ago
Index-Based Approach to Similarity Search in Protein and Nucleotide Databases
When searching databases of nucleotide or protein sequences, finding a local alignment of two sequences is one of the main tasks. Since the sizes of available databases grow const...
David Hoksza, Tomás Skopal
SBBD
2000
168views Database» more  SBBD 2000»
13 years 7 months ago
Fast Feature Selection Using Fractal Dimension
Dimensionalitycurse and dimensionalityreduction are two issues that have retained highinterest for data mining, machine learning, multimedia indexing, and clustering. We present a...
Caetano Traina Jr., Agma J. M. Traina, Leejay Wu, ...
PODS
2006
ACM
122views Database» more  PODS 2006»
14 years 6 months ago
Space- and time-efficient deterministic algorithms for biased quantiles over data streams
Skew is prevalent in data streams, and should be taken into account by algorithms that analyze the data. The problem of finding "biased quantiles"-- that is, approximate...
Graham Cormode, Flip Korn, S. Muthukrishnan, Dives...