Patents by Inventor Chandrika Kamath
Chandrika Kamath has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).
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Patent number: 7062504Abstract: A decision tree system that is part of a parallel object-oriented pattern recognition system, which in turn is part of an object oriented data mining system. A decision tree process includes the step of reading the data. If necessary, the data is sorted. A potential split of the data is evaluated according to some criterion. An initial split of the data is determined. The final split of the data is determined using evolutionary algorithms and statistical sampling techniques. The data is split. Multiple decision trees are combined in ensembles.Type: GrantFiled: April 25, 2002Date of Patent: June 13, 2006Assignee: The Regents of the University of CaliforniaInventors: Erick Cantu-Paz, Chandrika Kamath
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Publication number: 20060067562Abstract: A video camera produces a video sequence including moving objects. A computer is adapted to process the video sequence, produce individual frames, and use a fast-adapting background subtraction model to validate the results of a slow-adapting background subtraction model to improve identification of the moving objects.Type: ApplicationFiled: September 23, 2005Publication date: March 30, 2006Inventors: Chandrika Kamath, Sen-Ching Cheung
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Patent number: 7007035Abstract: A data mining decision tree system that uncovers patterns, associations, anomalies, and other statistically significant structures in data by reading and displaying data files, extracting relevant features for each of the objects, and using a method of recognizing patterns among the objects based upon object features through a decision tree that reads the data, sorts the data if necessary, determines the best manner to split the data into subsets according to some criterion, and splits the data.Type: GrantFiled: June 8, 2001Date of Patent: February 28, 2006Assignee: The Regents of the University of CaliforniaInventors: Chandrika Kamath, Erick Cantu-Paz
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Publication number: 20050267911Abstract: A data mining decision tree system that uncovers patterns, associations, anomalies, and other statistically significant structures in data by reading and displaying data files, extracting relevant features for each of the objects, and using a method of recognizing patterns among the objects based upon object features through a decision tree that reads the data, sorts the data if necessary, determines the best manner to split the data into subsets according to some criterion, and splits the data.Type: ApplicationFiled: July 12, 2005Publication date: December 1, 2005Inventors: Chandrika Kamath, Erick Cantu-Paz
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Patent number: 6938049Abstract: A system for decision tree ensembles that includes a module to read the data, a module to sort the data, a module to evaluate a potential split of the data according to some criterion using a random sample of the data, a module to split the data, and a module to combine multiple decision trees in ensembles. The decision tree method is based on statistical sampling techniques and includes the steps of reading the data; sorting the data; evaluating a potential split according to some criterion using a random sample of the data, splitting the data, and combining multiple decision trees in ensembles.Type: GrantFiled: June 11, 2002Date of Patent: August 30, 2005Assignee: The Regents of the University of CaliforniaInventors: Chandrika Kamath, Erick Cantu-Paz
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Patent number: 6879729Abstract: The present invention provides a data de-noising system utilizing processors and wavelet denoising techniques. Data is read and displayed in different formats. The data is partitioned into regions and the regions are distributed onto the processors. Communication requirements are determined among the processors according to the wavelet denoising technique and the partitioning of the data. The data is transforming onto different multiresolution levels with the wavelet transform according to the wavelet denoising technique, the communication requirements, and the transformed data containing wavelet coefficients. The denoised data is then transformed into its original reading and displaying data format.Type: GrantFiled: June 8, 2001Date of Patent: April 12, 2005Assignee: The Regents of the University of CaliforniaInventors: Chandrika Kamath, Chuck H. Baldwin, Imola K. Fodor, Nu A. Tang
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Patent number: 6859804Abstract: A system for decision tree ensembles that includes a module to read the data, a module to create a histogram, a module to evaluate a potential split according to some criterion using the histogram, a module to select a split point randomly in an interval around the best split, a module to split the data, and a module to combine multiple decision trees in ensembles. The decision tree method includes the steps of reading the data; creating a histogram; evaluating a potential split according to some criterion using the histogram, selecting a split point randomly in an interval around the best split, splitting the data, and combining multiple decision trees in ensembles.Type: GrantFiled: June 11, 2002Date of Patent: February 22, 2005Assignee: The Regents of the University of CaliforniaInventors: Chandrika Kamath, Erick Cantu-Paz, David Littau
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Patent number: 6675164Abstract: A data mining system uncovers patterns, associations, anomalies and other statistically significant structures in data. Data files are read and displayed. Objects in the data files are identified. Relevant features for the objects are extracted. Patterns among the objects are recognized based upon the features. Data from the Faint Images of the Radio Sky at Twenty Centimeters (FIRST) sky survey was used to search for bent doubles. This test was conducted on data from the Very Large Array in New Mexico which seeks to locate a special type of quasar (radio-emitting stellar object) called bent doubles. The FIRST survey has generated more than 32,000 images of the sky to date. Each image is 7.1 megabytes, yielding more than 100 gigabytes of image data in the entire data set.Type: GrantFiled: June 8, 2001Date of Patent: January 6, 2004Assignee: The Regents of the University of CaliforniaInventors: Chandrika Kamath, Erick Cantu-Paz
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Publication number: 20030229630Abstract: A system for decision tree ensembles that includes a module to read the data, a module to sort the data, a module to evaluate a potential split of the data according to some criterion using a random sample of the data, a module to split the data, and a module to combine multiple decision trees in ensembles. The decision tree method is based on statistical sampling techniques and includes the steps of reading the data; sorting the data; evaluating a potential split according to some criterion using a random sample of the data, splitting the data, and combining multiple decision trees in ensembles.Type: ApplicationFiled: June 11, 2002Publication date: December 11, 2003Applicant: The Regents of the University of CaliforniaInventors: Chandrika Kamath, Erick Cantu-Paz
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Publication number: 20030229641Abstract: A system for decision tree ensembles that includes a module to read the data, a module to create a histogram, a module to evaluate a potential split according to some criterion using the histogram, a module to select a split point randomly in an interval around the best split, a module to split the data, and a module to combine multiple decision trees in ensembles. The decision tree method includes the steps of reading the data; creating a histogram; evaluating a potential split according to some criterion using the histogram, selecting a split point randomly in an interval around the best split, splitting the data, and combining multiple decision trees in ensembles.Type: ApplicationFiled: June 11, 2002Publication date: December 11, 2003Applicant: The Regents of the University of CaliforniaInventors: Chandrika Kamath, Erick Cantu-Paz, David Littau
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Publication number: 20030204508Abstract: A decision tree system that is part of a parallel object-oriented pattern recognition system, which in turn is part of an object oriented data mining system. A decision tree process includes the step of reading the data. If necessary, the data is sorted. A potential split of the data is evaluated according to some criterion. An initial split of the data is determined. The final split of the data is determined using evolutionary algorithms and statistical sampling techniques. The data is split. Multiple decision trees are combined in ensembles.Type: ApplicationFiled: April 25, 2002Publication date: October 30, 2003Applicant: The Regents of the University of CaliforniaInventors: Erick Cantu-Paz, Chandrika Kamath
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Publication number: 20030061228Abstract: A data mining decision tree system that uncovers patterns, associations, anomalies, and other statistically significant structures in data by reading and displaying data files, extracting relevant features for each of the objects, and using a method of recognizing patterns among the objects based upon object features through a decision tree that reads the data, sorts the data if necessary, determines the best manner to split the data into subsets according to some criterion, and splits the data.Type: ApplicationFiled: June 8, 2001Publication date: March 27, 2003Applicant: The Regents of the University of CaliforniaInventors: Chandrika Kamath, Erick Cantu-Paz
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Publication number: 20030026493Abstract: The present invention provides a data de-noising system utilizing processors and wavelet denoising techniques. Data is read and displayed in different formats. The data is partitioned into regions and the regions are distributed onto the processors. Communication requirements are determined among the processors according to the wavelet denoising technique and the partitioning of the data. The data is transforming onto different multiresolution levels with the wavelet transform according to the wavelet denoising technique, the communication requirements, and the transformed data containing wavelet coefficients. The denoised data is then transformed into its original reading and displaying data format.Type: ApplicationFiled: June 8, 2001Publication date: February 6, 2003Applicant: The Regents of the University of CaliforniaInventors: Chandrika Kamath, Chuck H. Baldwin, Imola K. Fodor, Nu A. Tang
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Publication number: 20020194159Abstract: A data mining system uncovers patterns, associations, anomalies and other statistically significant structures in data. Data files are read and displayed. Objects in the data files are identified. Relevant features for the objects are extracted. Patterns among the objects are recognized based upon the features. Data from the Faint Images of the Radio Sky at Twenty Centimeters (FIRST) sky survey was used to search for bent doubles. This test was conducted on data from the Very Large Array in New Mexico which seeks to locate a special type of quasar (radio-emitting stellar object) called bent doubles. The FIRST survey has generated more than 32,000 images of the sky to date. Each image is 7.1 megabytes, yielding more than 100 gigabytes of image data in the entire data set.Type: ApplicationFiled: June 8, 2001Publication date: December 19, 2002Applicant: The Regents of the University of CaliforniaInventors: Chandrika Kamath, Erick Cantu-Paz