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ADBIS
2007
Springer
256views Database» more  ADBIS 2007»
14 years 1 months ago
Adaptive k-Nearest-Neighbor Classification Using a Dynamic Number of Nearest Neighbors
Classification based on k-nearest neighbors (kNN classification) is one of the most widely used classification methods. The number k of nearest neighbors used for achieving a high ...
Stefanos Ougiaroglou, Alexandros Nanopoulos, Apost...
DOCENG
2007
ACM
14 years 28 days ago
A document object modeling method to retrieve data from a very large XML document
Document Object Modeling (DOM) is widely used approach for retrieving data from an XML document. If the size of the XML document is very large, however, using the DOM approach for...
Seung Min Kim, Suk I. Yoo, Eunji Hong, Tae Gwon Ki...
GLOBECOM
2009
IEEE
14 years 26 days ago
Near-ML Detection over a Reduced Dimension Hypersphere
Abstract--In this paper, we propose a near-maximum likelihood (ML) detection method referred to as reduced dimension ML search (RD-MLS). The RD-MLS detector is based on a partition...
Jun Won Choi, Byonghyo Shim, Andrew C. Singer
FSE
2006
Springer
159views Cryptology» more  FSE 2006»
14 years 20 days ago
Breaking the ICE - Finding Multicollisions in Iterated Concatenated and Expanded (ICE) Hash Functions
The security of hash functions has recently become one of the hottest topics in the design and analysis of cryptographic primitives. Since almost all the hash functions used today ...
Jonathan J. Hoch, Adi Shamir
GCB
2006
Springer
136views Biometrics» more  GCB 2006»
14 years 20 days ago
Ab Initio Prediction of Molecular Fragments from Tandem Mass Spectrometry Data
: Mass spectrometry is one of the key enabling measurement technologies for systems biology, due to its ability to quantify molecules in small concentrations. Tandem mass spectrome...
Markus Heinonen, Ari Rantanen, Taneli Mielikä...