Abstract: Disclosed are a method of and system for creating a load balanced spatial partitioning of a structured, diffusing system of particles with pairwise interactions that is scalable to a very large number of nodes and has favorable communications characteristics including well defined bounds on the number of hops and the number of nodes to which a particle's position must be sent. To deal with structural imbalance, we can assign a weight corresponding to the computational cost for a particular pair interaction of particles or locally clustered groups of particles to simulation space at the midpoint of the distance between the particles or centers of the clusters. We then carry out a spatial partitioning of the simulation volume using a k-d tree or optimal recursive bisection (ORB) to divide the volume into sections that have approximately equal total weights.

Abstract: A method is provided for monitoring audio content in a video broadcast. According to the method, an audio datastream from the video broadcast is received, and audio identifying information is generated for audio content from the audio datastream. It is determined whether the audio identifying information generated for the received audio content matches audio identifying information in an audio content database. In one preferred embodiment, the audio identifying information is an audio feature signature that is based on audio content. Also provided is a system for monitoring audio content in a video broadcast.

Abstract: A method is provided for monitoring audio content available over a network. According to the method, the network is searched for audio files, and audio identifying information is generated for each audio file that is found. It is determined whether the audio identifying information generated for each audio file matches audio identifying information in an audio content database. In one preferred embodiment, each audio file that is found is analyzed so as to generate the audio file information, which is an audio feature signature that is based on the content of the audio file. Also provided is a system for monitoring audio content available over a network.

Abstract: It is determined whether audio identifying information generated for an audio content image matches audio identifying information in an audio content database. If the audio identifying information generated for the audio content image matches audio identifying information in the audio content database, at least one product containing or relating to audio content that corresponds to the matching audio identifying information is identified. In one embodiment, the audio content image is received, and the audio identifying information is generated for the audio content image. In another embodiment, the audio identifying information for the audio content image is received. Also provided is a system for selling products.

Abstract: An audio signal is sampled and a frequency transform is performed on a succession of sets of samples of the signal to obtain a time dependent power spectrum for the audio signal. Frequency components output by the frequency transform are collected in frequency bands. More than one running average is taken of each semitone frequency band. When the values of two running averages of the same semitone frequency band cross, time information is recorded. Information about average crossing events that have occurred at different times in a set of adjacent semitone frequency bands is combined to form a key. A set of keys obtained from a song provides a means for identifying the song and is stored in a database for use in identifying songs.

Abstract: A broadcast datastream is received, and audio identifying information is generated for audio content from the broadcast datastream. It is determined whether the audio identifying information generated for the broadcast audio content matches audio identifying information in an audio content database. In one preferred embodiment, the audio identifying information is an audio feature signature that is based on audio content. Also provided is a system for monitoring broadcast audio content.

Abstract: A field-based similarity search system and method includes a database for storing at least one candidate molecule, an input device for inputting a query molecule, and a processor for identifying a candidate molecule which is similar to the query molecule based on a similarity of fragment pair features.

Abstract: A method for identifying audio content is provided. An audio signal is sampled and a frequency transform is performed on a succession of sets of samples of the signal to obtain a time dependent power spectrum for the audio signal. Frequency components output by the frequency transform are collected in frequency bands. More than one running average is taken of each semitone frequency band. When the values of two running averages of the same semitone frequency band cross, time information is recorded. Information about average crossing events that have occurred at different times in a set of adjacent semitone frequency bands is combined to form a key. A set of keys obtained from a song provides a means for identifying the song and is stored in a database for use in identifying songs.

Abstract: A method is provided for selling products containing or relating to audio content. According to the method, it is determined whether audio identifying information generated for an audio content image matches audio identifying information in an audio content database. If the audio identifying information generated for the audio content image matches audio identifying information in the audio content database, at least one product containing or relating to audio content that corresponds to the matching audio identifying information is identified. In one embodiment, the audio content image is received, and the audio identifying information is generated for the audio content image. In another embodiment, the audio identifying information for the audio content image is received. Also provided is a system for selling products.

Abstract: A method is provided for monitoring broadcast audio content. According to the method, a broadcast datastream is received, and audio identifying information is generated for audio content from the broadcast datastream. It is determined whether the audio identifying information generated for the broadcast audio content matches audio identifying information in an audio content database. In one preferred embodiment, the audio identifying information is an audio feature signature that is based on audio content. Also provided is a system for monitoring broadcast audio content.

Abstract: A method is provided for monitoring audio content in a video broadcast. According to the method, an audio datastream from the video broadcast is received, and audio identifying information is generated for audio content from the audio datastream. It is determined whether the audio identifying information generated for the received audio content matches audio identifying information in an audio content database. In one preferred embodiment, the audio identifying information is an audio feature signature that is based on audio content. Also provided is a system for monitoring audio content in a video broadcast.

Abstract: A method is provided for monitoring audio content available over a network. According to the method, the network is searched for audio files, and audio identifying information is generated for each audio file that is found. It is determined whether the audio identifying information generated for each audio file matches audio identifying information in an audio content database. In one preferred embodiment, each audio file that is found is analyzed so as to generate the audio file information, which is an audio feature signature that is based on the content of the audio file. Also provided is a system for monitoring audio content available over a network.

Abstract: The method of the present invention transforms descriptor vectors that characterize molecular complexes partitioned into groups into a space that discriminates between those groups in a well defined optimal sense. First data is generated that represents a differences between the groups of descriptor vectors. Second data is generated representing variation within the groups of descriptor vectors. A set of component vectors is then identified that maximizes an F distributed criterion function that measures differences of desciptor vectors between groups relative to varations of descriptor vectors within groups. A statistic is generated for subsets of the component vectors. For each particular subset of component vectors, a probability value for the statistic associated with the particular subset is calculated. The subset with the minimum probability value is selected.