Energy minimization for classification, pattern recognition, sensor fusion, data compression, network reconstruction and signal processing
0 Assignments
0 Petitions
Accused Products
Abstract
A data analyzer/classifier comprises using a preprocessing step, and energy minimization step, and a postprocessing step to analyze/classify data.
37 Citations
65 Claims
-
1-43. -43. (canceled)
-
44. A classifier process for data, the classifier process comprising:
-
using individual differences multidimensional scaling with two or more input symmetric matrices into which the data to be classified has been converted to produce at least a source space output; and
using the source space output for at least one of to classify the data;
for pattern recognition;
for sensor fusion;
for optical character recognition; and
for data compression. - View Dependent Claims (45)
-
-
46. A method for data compression, the method comprising:
-
producing the two or more proximity matrices including the data to be compressed;
using individual differences multidimensional scaling upon the one or more input proximity matrices to produce a source space output and a common space output; and
using the source space output and the common space output as a compressed representation of the data.
-
-
47. A method for classifying data, the method comprising:
-
receiving input data for classification;
forming two or more symmetric matrices from the received input data;
applying individual differences multidimensional scaling to the two or more symmetric matrices to produce at least a source space output; and
using the source space output to classify the received data. - View Dependent Claims (48, 49, 50, 51)
-
-
52. A pattern recognition method comprising:
-
receiving input data;
forming two or more symmetric matrices from the received input data;
applying individual differences multidimensional scaling to the two or more symmetric matrices to produce at least a source space output; and
using the source space output for pattern recognition. - View Dependent Claims (53, 54, 55, 56)
-
-
57. A method for optical character recognition, the method comprising:
-
receiving input data representative of optimal character data;
forming two or more symmetric matrices using the received input data;
applying individual differences multidimensional scaling to the two or more symmetric matrices to produce at least a source space output; and
using the source space output for optical character recognition. - View Dependent Claims (58, 59, 60, 61)
-
-
62. A method for data compression comprising:
-
receiving input data for compression;
forming two or more symmetric matrices from the received input data;
applying individual differences multidimensional scaling to the two or more symmetric matrices to produce at least a source space output; and
using the source space output for data compression. - View Dependent Claims (63, 64, 65)
-
Specification