Data processing apparatus, data processing method, learning apparatus, learning method, and medium
Patent 6678405 Issued on January 13, 2004. Estimated Expiration Date: 
June 6, 2020. Estimated Expiration Date is calculated based on simple USPTO term provisions. It does not account for terminal disclaimers, term adjustments, failure to pay maintenance fees, or other factors which might affect the term of a patent.
June 6, 2020. Estimated Expiration Date is calculated based on simple USPTO term provisions. It does not account for terminal disclaimers, term adjustments, failure to pay maintenance fees, or other factors which might affect the term of a patent.Patent ReferencesMethod and apparatus for determination of an approximate standard deviation in an image processor Image signal converting method and image signal converting apparatus Image signal interpolating apparatus Patent #: 6016164 InventorsAssigneeApplicationNo. 09/587865 filed on 06/06/2000US Classes:382/159, Trainable classifiers or pattern recognizers (e.g., adaline, perceptron)382/156, Neural networks382/254, IMAGE ENHANCEMENT OR RESTORATION706/20, Classification or recognition706/21PredictionExaminersPrimary: Mehta, Bhavesh M.Assistant: Bayat, Ali Attorney, Agent or FirmInternational ClassG06T 5/00 (20060101)Foreign Application Priority Data1999-06-08 JPAbstractA data processing apparatus includes a determining unit capable of determining, in accordance with a plurality of data to be extracted from said input data, irregular intervals among said plurality of data to be extracted from said input data, an extracting unit for extracting the plurality of data, which correspond to output data of interest to be predicted, from said input data in accordance with the determination result by said determining unit, and a predicting unit for finding predicted values of the output data of interest based on the plurality of data extracted by said extracting unit.Other References
Field of SearchNeural networksNetwork learning techniques (e.g., back propagation) IMAGE COMPRESSION OR CODING Interframe coding (e.g., difference or motion detection) Predictive coding Adaptive coding (i.e., changes based upon history, activity, busyness, etc.) IMAGE ENHANCEMENT OR RESTORATION Adaptive filter Lowpass filter (i.e., for blurring or smoothing) Intensity, brightness, contrast, or shading correction Artifact removal or suppression (e.g., distortion correction) Interpolation LEARNING SYSTEMS Trainable classifiers or pattern recognizers (e.g., adaline, perceptron) Generating a standard by statistical analysis | |
