Abstract: A method (and system) of discovering a significant subset in a collection of documents, includes identifying a set of documents from a plurality of documents based on a likelihood that documents in the set of documents carries an instance of information that is characteristic to the documents in the set of documents.

Abstract: A method (and system) for extracting information from a document, includes segregating a set of documents from a plurality of documents based on a likelihood that at least one document in the set of documents carries an instance of a preset information.

Abstract: A method (and system) of discovering a significant subset in a collection of documents, includes identifying a set of documents from a plurality of documents based on a likelihood that documents in the set of documents carries an instance of information that is characteristic to the documents in the set of documents.

Abstract: A system and method for monitoring behavior patterns which effectively distinguishes between alarming and non-alarming behavior patterns, includes at least one sensor for detecting behavior patterns, a memory device coupled to the sensor, for storing standard behavior patterns, and a processor, coupled to the memory device, for comparing standard behavior patterns with detected behavior patterns, and causing a response to be activated when standard behavior patterns and detected behavior patterns have a predetermined relationship.

Abstract: A system restocking and repricing merchandise includes a shelf label holder having an illuminating function, and a hand-held unit which remotely causes the shelf label holder to illuminate under predetermined conditions. The system may also include a host controller for directing the operation of the hand held unit and shelf label holder.

Abstract: A system and method for monitoring behavior patterns which effectively distinguishes between alarming and non-alarming behavior patterns, includes at least one sensor for detecting behavior patterns, a memory device coupled to the sensor, for storing standard behavior patterns, and a processor, coupled to the memory device, for comparing standard behavior patterns with detected behavior patterns, and causing a response to be activated when standard behavior patterns and detected behavior patterns have a predetermined relationship.

Abstract: The present invention is in the field of sensor fusion, and discloses in one embodiment a method for extracting the trajectories of moving objects from an assembly of low-resolution sensors, whose spatial relationships are initially unknown, except that their fields of view are known to overlap so as to form a continuous coverage region, which may be much larger than the field of view of any individual sensor. Segments of object trajectories may be extracted from the data of each sensor, and then stitched together to reconstruct the trajectories of the objects. The stitching process also allows determination of the spatial relationships between the sensors, so that from initially knowing little or nothing about the sensor arrangement or the paths of the objects, both may be reconstructed unambiguously.

Abstract: A data-dependent branch table is a mechanism that is sensitive to operands that will be tested in order to determine branch action outcomes. The data dependent branch table operates in conjunction with a branch history table to anticipate those instances where the branch history table will make an erroneous prediction, and corrects the branch history table prior to the time that the actual prediction is made.

Abstract: Equipping a secondary data flow facility with additional capability, to emulate for certain operations the simultaneous processing of the prerequisite instruction and the dependent instruction, significantly improves simultaneous pipeline processing of inherently sequential instructions (k)-at-a-time, by eliminating delays for calculating prerequisite operands. For example, Instruction A+B=Z1 followed by Instruction Z1+C=Z2 is inherently sequential, with A+B=Z1 the prerequisite instruction and Z1+C=Z2 the dependent instruction. The specially equipped secondary data flow facility does not wait for Z1, the apparent input operand from the prerequisite instruction; it simulates Z1 instead, performing A+B+C=Z2 in parallel with A+B=Z1. All data flow facilities need not be fully equipped for all instructions; the secondary data flow facility may be generally less massive than a primary data flow facility, but is more sophisticated in a critical organ, such as the adder.

Abstract: A method and apparatus predicting the outcome of a conditional branch instruction based on the previous performance of the branch, rather than on the instruction fields. The prediction of the outcome of a conditional branch instruction is performed utilizing a table that records the history of the outcome of the branch at a given memory location. A decode-time history table (DHT) is utilized. The DHT attempts to guess only the outcome of a conditional branch instruction, but not its target address. Thus, it can only be used to guess the branch outcomes at decode time when the target address is available. During the decoding of a conditional branch instruction, a table is accessed using the memory address of the branch instruction itself or some portions thereof. The table records the history of the outcomes of the branch at this memory location up to the congruence of the table size. A combinational circuit determines the guess (taken or not taken) from the branch history as provided by the table.