Abstract: Described are methods and systems for training a system for detecting anomalies in images of documents in a class of documents. A plurality of training document images of training documents in a class of documents are obtained. For each training document image, the training document image is segmented into a plurality of region of interest (ROI) images, each ROI image corresponding to a respective ROI of the training document. For each ROI image, a plurality of transformations are applied to the ROI image to generate respective transform-specific features for the ROI image and respective transform-specific anomaly scores from the transform-specific features. Based on the respective anomaly scores of the plurality of training document images, a transform-specific threshold is computed for each transformation to separate document images containing an anomaly from document images not containing an anomaly.

Abstract: Described are methods, systems, and apparatus for recommending catalog items for blacklisting. For each of a plurality of catalog items: image features are extracted; image features are associated with the catalog item; and user purchase events, user view events, a textual description, and categories are associated with the catalog item by the recommendation system. An identification of a first blacklisted catalog item is received. A catalog item is identified by the recommendation system based on i) a similarity between the image features associated with the first blacklisted catalog item and the image features associated with the catalog item, and ii) a correspondence between at least one of the user purchase events, the user view events, the textual description, or the categories associated with the blacklisted catalog item and the user purchase events, the user view events, the textual description, or the categories associated with the catalog item.

Abstract: Described are methods, systems, and apparatus for recommending catalogue items for blacklisting. For each of a plurality of catalog items: image features are extracted; image features are associated with the catalog item; and user purchase events, user view events, a textual description, and categories are associated with the catalog item by the recommendation system. An identification of a first blacklisted catalog item is received. A catalog item is identified by the recommendation system based on i) a similarity between the image features associated with the first blacklisted catalog item and the image features associated with the catalog item, and ii) a correspondence between at least one of the user purchase events, the user view events, the textual description, or the categories associated with the blacklisted catalog item and the user purchase events, the user view events, the textual description, or the categories associated with the catalog item.

Abstract: The invention relates to a method for assisting with the search for an element (E) having a predefined hue in an environment, the method comprising the provision of at least one image in color, said or each image comprising pixels, the method being characterized in that the method comprises the selection in said or each image of the pixels having a hue for which value of the parameter associated through the bijection is comprised between first and second values, the first and second values being chosen so that the set of hues, for which value of the parameter associated through the bijection is comprised between both chosen values, comprises the predefined hue.

Abstract: The invention relates to a method for assisting with the search for an element (E) having a predefined hue in an environment, the method comprising the provision of at least one image in color, said or each image comprising pixels, the method being characterized in that the method comprises the selection in said or each image of the pixels having a hue for which value of the parameter associated through the bijection is comprised between first and second values, the first and second values being chosen so that the set of hues, for which value of the parameter associated through the bijection is comprised between both chosen values, comprises the predefined hue.