Abstract: The invention relates to improving the response of a plant to lipochitooligosaccharidic Nod and Myc-LCO factors, by means of the expression, in the plant, of a polypeptide which has a sequence homology with the extracellular domain of the LysM-motif-containing receptor kinase LYR3 in Medicago truncatula and which is capable of binding to lipochitooligosaccharides with an increased affinity.

Abstract: Methods and systems for suggesting alternative image queries for individual image query search results. In one aspect, a method includes displaying a group of one or more image search results for a first image query, each image search result referring to a respective resource and including a link to the respective resource, receiving first input from a user interacting with a first image search result in the group of one or more image search results, and, in response to receiving the first input, displaying one or more suggested second image queries, where each suggested second image query is associated with the first image search result.

Abstract: A system identifies an image and determines whether the image contains inappropriate content based on first data associated with the image, second data associated with a document that contains the image or refers to the image, and/or third data associated with a group of documents with which the image is associated.

Abstract: A system identifies an image and determines whether the image contains inappropriate content based on first data associated with the image, second data associated with a document that contains the image or refers to the image, and/or third data associated with a group of documents with which the image is associated.

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for processing queries made up of images. In one aspect, a method includes indexing images by image descriptors. The method further includes associating descriptive n-grams with the images. In another aspect, a method includes receiving a query, identifying text describing the query, and performing a search according to the text identified for the query.

Abstract: A system identifies an image and determines whether the image contains inappropriate content based on first data associated with the image, second data associated with a document that contains the image or refers to the image, and/or third data associated with a group of documents with which the image is associated.

Abstract: Methods, systems, and apparatus, including computer program products, for identifying images relevant to a query are disclosed. An image search subsystem selects images to reference in image search results that are responsive to a query based on an image relevance model that is trained for the query. An independent image relevance model is trained for each unique query that is identified by the image search subsystem. The image relevance models can be applied to images to order image search results obtained for the query. Each relevance model is trained based on content feature values of images that are identified as being relevant to the query (e.g., frequently selected from the image search results) and images that are identified as being relevant to another unique query. The trained model is applied to the content feature values of all known images to generate an image relevance score that can be used to order search results for the query.

Abstract: Systems, method, and apparatus including computer program products for providing image search results. In some implementations, a method is provided. The method includes receiving from a user a query for images including static images, moving images, and images within multimedia content, identifying at least one of a language attribute and a locale attribute of the user, generating multiple search results, each result corresponding to an image content item that satisfies the query, ordering the search results based at least on click data for image content items that satisfy the query, the click data gathered from users having at least one of the language attribute and the locale attribute, and presenting the ordered search results to the user, including presenting representations of the corresponding image content items.

Abstract: An image classification system trains an image classification model to classify images relative to text appearing with the images. Training images are iteratively selected and classified by the image classification model according to feature vectors of the training images. An independent model is trained for unique n-grams of text. The image classification system obtains text appearing with an image and parses the text into candidate labels for the image. The image classification system determines whether an image classification model has been trained for the candidate labels. When an image classification model corresponding to a candidate label has been trained, the image classification subsystem classifies the image relative to the candidate label. The image is labeled based on candidate labels for which the image is classified as a positive image.

Abstract: Methods, systems and apparatus for identifying result images for a query image. One or more labels that are associated with the query image are obtained. Candidate images matching the query labels are identified. Visual similarity scores are generated for the candidate images. Each visual similarity score represents the visual similarity of a respective candidate image to the query image. Relevance scores are generated for each of the candidate images based on the visual similarity scores. Each relevance score represents a measure of relevance of the respective candidate images to the query image. The candidate images are ranked based on the relevance scores, a highest ranking subset of the candidate images being identified as result images and referenced by image search results. The result images can be candidate images that satisfy a similarity condition relative to the query image and other result images.

Abstract: A system identifies an image and determines whether the image contains inappropriate content based on first data associated with the image, second data associated with a document that contains the image or refers to the image, and/or third data associated with a group of documents with which the image is associated.

Abstract: An image quality subsystem computes quality scores for images that represent a measure of visual quality of the images. Initial quality scores and query specific quality scores can be computed for the images based on image feature values for the images and a transformation factor that represents a measure of importance of image quality for computing relevance scores for images. The initial quality scores are query independent quality scores that are computed for the images and can be used as a factor for computing relevance scores for the image relative to any query. Query specific quality scores are computed for images that are identified as relevant for a particular query based on the initial quality scores and a query specific transformation factor for the particular query. Adjusted relevance scores for the images can be computed based on the initial quality scores or the query specific quality scores.

Abstract: Methods, systems, and apparatus, including computer program products, for ranking images are disclosed. An image search subsystem generates an adjustment factor representative of a quality measure of an image relative to a search query. The quality represents a relevance of the image to the query. The adjustment factor can be computed based on relevance data for the image to the query and image similarity data representing a relative similarity between the image and other images relevant to the query. The relevance data can be based on user actions in response to the image being included in search results for the query. The adjustment factor can be scaled based on whether the relevance data and the image similarity data both indicate that the image is relevant to the search query. A relevance score is computed based on the adjustment factor (e.g., a product of the adjustment factor and relevance score).

Abstract: A system identifies an image and determines whether the image contains inappropriate content based on first data associated with the image, second data associated with a document that contains the image or refers to the image, and/or third data associated with a group of documents with which the image is associated.

Abstract: A system identifies an image and determines whether the image contains inappropriate content based on first data associated with the image, second data associated with a document that contains the image or refers to the image, and/or third data associated with a group of documents with which the image is associated.

Abstract: A system identifies an image and determines whether the image contains inappropriate content based on first data associated with the image, second data associated with a document that contains the image or refers to the image, and/or third data associated with a group of documents with which the image is associated.

Abstract: The present invention relates to methods for differentiating Hepatitis C virus (HCV) group A genotypes from HCV group B genotypes. The invention finds application in determining prognosis, and in the selection of treatment regimes, for patients infected with HCV.

Abstract: A system for compressing bilevel data includes a first cache memory having a plurality of assigned levels of usage, a first usage level assigned to a most recently used data segments and a second level assigned to a plurality of less recently used data segments. A processor determines if a received data segment is found in the cache memory and, if not, it assigns the received data segment to the cache memory's first level in place of a previous data segment stored therein. The previous data segment is assigned to a position in the second level in place of a less recently used data segment. The less recently used data segment that is displaced is chosen by a pseudo-random method. A not-found indication is then transmitted to a receiving station along with the identity of the received data segment. The receiving station contains identical cache structures and updates its caches in response to received code words and data segments.