Abstract: In one example, a bulk dispute challenge system may select disputes to challenge from a bulk set of dispute events based on a probability of success and a return on investment. The bulk dispute challenge system may receive a dispute success model that calculates a predicted probability of success for disputes generated by applying a machine learning model to a training data set featuring multiple attributes describing data characteristics of disputed events. The bulk dispute challenge system may apply the dispute success model to a dispute of a dispute set. The bulk dispute challenge system may calculate a predicted probability of success for a dispute challenge. The bulk dispute challenge system may perform a dispute decision for the dispute based in part on the predicted probability of success and a dispute return on investment. The bulk dispute challenge system may execute the dispute challenge to the dispute based on the dispute decision.

Abstract: In one example, a bulk dispute challenge system may select disputes to challenge from a bulk set of dispute events based on a probability of success and a return on investment. The bulk dispute challenge system may receive a dispute success model that calculates a predicted probability of success for disputes generated by applying a machine learning model to a training data set featuring multiple attributes describing data characteristics of disputed events. The bulk dispute challenge system may apply the dispute success model to a dispute of a dispute set. The bulk dispute challenge system may calculate a predicted probability of success for a dispute challenge. The bulk dispute challenge system may perform a dispute decision for the dispute based in part on the predicted probability of success and a dispute return on investment. The bulk dispute challenge system may execute the dispute challenge to the dispute based on the dispute decision.

Abstract: A color image control system and method are provided for improving the image control of printing systems, including digital front-end processors, color printers and post-finishing system. This automatic image control system, including measurement and calibration, by registering the captured reproduced document with the extracted virtual device document and automatically locating a plurality of regions in which to measure captured color values, using colorimetric measurements of an aim reproduction of the document at these same region positions, and finally relating the captured color values, the colorimetric color values, and the virtual device color values to create the an accurate color mapping. One embodiment of this method combines a global regression polynomial with local mapping refinement.

Abstract: Techniques for color gamut mapping between source and destination devices are provided. The mapping is performed in a device-independent color space using color ridges of the primary and secondary color ramps of the source and destination devices. An iterative learning process is also provided to adapt the color gamut mapping to a user's perceptual preferences.

Abstract: A color image control system and method are provided for improving the image control of printing systems, including digital front-end processors, color printers and post-finishing system. This color image control system incorporate a graininess correction including measurement and calibration using measurements of a graininess magnitude.

Abstract: A color image control system and method are provided for improving the image control of printing systems, including digital front-end processors, color printers and post-finishing system. This automatic image control system, including measurement and calibration, by registering the captured reproduced document with the extracted virtual device document and automatically locating a plurality of regions in which to measure captured color values, using colorimetric measurements of an aim reproduction of the document at these same region positions, and finally relating the captured color values, the colorimetric color values, and the virtual device color values to create the an accurate color mapping. One embodiment of this method combines a global regression polynomial with local mapping refinement.