Mathieu Chuat

Title: The Innovative Mind of Mathieu Chuat

Introduction

Mathieu Chuat is a notable inventor based in Meylan, France. He has made significant contributions to the field of digital object categorization and retrieval. With a total of 3 patents to his name, Chuat continues to push the boundaries of innovation in technology.

Latest Patents

One of Mathieu Chuat's latest patents is titled "Pre-screening training data for classifiers." This system and method provide recommendations for refining training data that includes a training set of digital objects. A submitter labels the digital objects in the training set with labels, which may indicate whether the object is considered positive, neutral, or negative with respect to each of a predefined set of classes. Score vectors are computed by a trained categorizer for each digital object in the labeled training set. From the score vectors, various metrics are computed, such as a representative score vector and distances of score vectors from the representative score vector for a label group, cluster, or category of the categorizer. Based on the computed metrics, heuristics are applied, and the training data is evaluated, leading to recommendations for the submitter, such as proposing that mislabeled objects are relabeled. The training data may include unlabeled digital objects, in which case, the recommendations may include suggestions for labeling the unlabeled objects.

Another significant patent by Chuat is "Parameterization of a categorizer for adjusting image categorization and retrieval." This system and method provide a way for digital object categorization or retrieval. The method includes providing a selector that is graphically presented to a user. The selector is variably adjustable within a range, allowing the user to adjust a level of noise in at least one of digital object categorization and digital object retrieval. The range of the selector is normalized over a set of digital object categories based on scores output by a trained categorizer for each of a set of labeled test objects for each of the set of digital object categories and a label for each of the test objects. Selector position information is received by the system, and at least one of digital object categorization and digital object retrieval is performed based on the selector position information. One or more of the method steps may be performed with a computer processor.

Career Highlights

Mathieu Chuat is currently employed at Xerox Corporation, where he applies his expertise in digital technologies. His work focuses on enhancing the