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Santosh S Vempala

age ~52

from Atlanta, GA

Also known as:
  • Santosh Isela
  • Santosh Vampala
Phone and address:
931 Virginia Ave, Atlanta, GA 30306
4047459160

Santosh Vempala Phones & Addresses

  • 931 Virginia Ave, Atlanta, GA 30306 • 4047459160 • 4048555621
  • Somerville, MA
  • 209 Chestnut St, Cambridge, MA 02139
  • Berkeley, CA
  • Pittsburgh, PA

Isbn (Books And Publications)

  • The Random Projection Method

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  • Author:
    Santosh S. Vempala
  • ISBN #:
    0821820184

Us Patents

  • Techniques For Clustering A Set Of Objects

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  • US Patent:
    7752233, Jul 6, 2010
  • Filed:
    Mar 29, 2007
  • Appl. No.:
    11/731008
  • Inventors:
    Santosh Vempala - Atlanta GA, US
    Grant Wang - Mt. View CA, US
    Ravi Kannan - Hamden CT, US
    David Cheng - New York NY, US
  • Assignee:
    Massachusetts Institute of Technology - Cambridge MA
    Yale University - New Haven CT
  • International Classification:
    G06F 17/30
  • US Classification:
    707802, 707790
  • Abstract:
    Described are techniques for clustering a data set of objects. Divide phase processing is performed to partition the data set into two or more partitions forming a hierarchy of the objects. Merge phase processing may be performing using the hierarchy to determine one or more disjoint clusters of objects of the data set. Optional preprocessing may be performed to determine weights for one or more features of an object.
  • Boosted Perceptron

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  • US Patent:
    20040220987, Nov 4, 2004
  • Filed:
    Apr 30, 2003
  • Appl. No.:
    10/426669
  • Inventors:
    John Dunagan - Sammamish WA, US
    Santosh Vempala - Cambridge MA, US
  • Assignee:
    MICROSOFT CORPORATION - REDMON WA
  • International Classification:
    G06F015/18
  • US Classification:
    708/446000
  • Abstract:
    In one embodiment, a system and method for solving linear programs includes a perceptron algorithm configured to move toward a solution to the linear program. A transform algorithm is configured to stretch portions of a vector space within which the linear program is defined. A decision module decides between continued application of the perceptron algorithm and application of the transform algorithm based on a rate at which the approximate solutions are approaching a satisfactory solution.

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