Abstract: A temporal error concealment is described. A video stream comprises a current frame comprising a lost image region, and a reference frame. The method comprises forming a list of motion vector candidates, the list of motion vector candidates including a set of one or more motion vectors from the current frame and a set of one or more motion vectors from the reference frame; testing each of the motion vector candidates using a matching error measure; selecting a replacement motion vector from the list based on the matching error measures; and using the selected replacement motion vector to conceal the lost image region. A mode selection method is also described. A motion vector is used to identify a motion compensated reference image region in the reference frame. A motion compensated temporal activity of an image region in the current frame is calculated based on a comparison between the image region in the current frame and the motion compensated reference image region in the reference frame.

Abstract: A temporal error concealment is described. A video stream comprises a current frame comprising a lost image region, and a reference frame. The method comprises forming a list of motion vector candidates, the list of motion vector candidates including a set of one or more motion vectors from the current frame and a set of one or more motion vectors from the reference frame; testing each of the motion vector candidates using a matching error measure; selecting a replacement motion vector from the list based on the matching error measures; and using the selected replacement motion vector to conceal the lost image region. A mode selection method is also described. A motion vector is used to identify a motion compensated reference image region in the reference frame. A motion compensated temporal activity of an image region in the current frame is calculated based on a comparison between the image region in the current frame and the motion compensated reference image region in the reference frame.

Abstract: Methods, systems and computer program products for mapping is a set of related objects into a multidimensional space. The mapping is carried out using an iterative (e.g., pairwise) refinement strategy that attempts to ensure that the distances of the objects on the map satisfy a supplied set of upper and lower bounds. In a preferred embodiment, these upper and lower bounds are derived from a supplied set of relationships (similarities, dissimilarities, or proximities) between the objects. In another preferred embodiment, these distance bounds are chosen to preserve local relationships between neighboring objects while maintaining minimum separation between remote objects.

Abstract: A self-organizing method, system, and computer program product for generating molecular conformations that are consistent with a set of distance and/or volume constraints. A stochastic proximity embedding (SPE) algorithm evaluates individual distance and/or volume constraints and adjusts the atomic coordinates to minimize violations of such constraints. The method scales linearly with thenumber of atoms, and produces many more unique conformations at a fraction of the time required by conventional distance geometry algorithms.

Abstract: The present invention determines properties of combinatorial library products from features of library building blocks. At least one feature is determined for each building block of a combinatorial library having a plurality of products. A training subset of products is selected from the products, and at least one property is determined for each product of the training subset. A building block set is identified for each product of the training subset, and an input features vector is formed from the features of the identified building blocks for each product of the training subset. A supervised machine learning approach is used to infer a mapping function that transforms the input features vector for each product of the training subset to the corresponding at least one property for each product of the training subset. After the mapping function is inferred, it is used for determining properties of other products of the library from their corresponding input features vectors.

Abstract: The present invention is directed to novel pyrazole derivatives and their use as pesticidal agents. The pyrazole derivatives have Formula I: or a salt thereof, where R1 represents R5O, R5SO2, R5SO or R5S in which R5 is as defined herein; X is halo, cyano, C1-6 alkoxycarbonyl, C2-6 alkynyl, optionally substituted C6-14 aryl or an optionally substituted 5- to 7-membered heteroaromatic ring linked to thiazole via a carbon-carbon bond; R2 is hydrogen, amino, chloro, bromo, iodo, cyano, C1-6 alkoxy, C1-6 alkyl or C6-10 aryl; and R3-R7 each represent hydrogen, halogen, straight- or branched-chain C1-4 alkyl or C1-4 alkoxy, either of which is unsubstituted or substituted by one or more halogen atoms, straight- or branched-chain C1-4 alkylthio or C1-4 alkylsulphinyl, either of which is substituted by one or more halogen atoms, nitro, cyano, or straight- or branched-chain C1-4 alkylsulphonyl group which is unsubstituted or substituted by one or more halogen atoms.

Abstract: The present invention is directed to inhibiting pest GABA receptors by contacting said receptors with a compound of Formula I: The invention is also directed to methods of controlling pests, especially insects and arachnids such as fleas and ticks, and to novel compounds within the scope of Formula I.