SR-tree is an index structure for HIgh-dimensional nearest neighbor queries,C++ sourcecode. SR-tree outperforms the R*-tree and the SS-tree especially for HIgh-dimensional and non-uniform data which are likely to appear in the actual image / video applications.
Feature selection is a preprocessing technique frequently used in data mining and machine learning tasks. It can reduce dimensionality, remove irrelevant data, increase learning accuracy, and improve results comprehensibility. FCBF is a fast correlation-based filter algorithm designed for HIgh-dimensional data and has been shown effective in removing both irrelevant features and redundant features
In this paper, we consider the problem of filtering in relational
hidden Markov models. We present a compact representation for
such models and an associated logical particle filtering algorithm. Each
particle contains a logical formula that describes a set of states. The
algorithm updates the formulae as new observations are received. Since
a single particle tracks many states, this filter can be more accurate
than a traditional particle filter in high dimensional state spaces, as we
demonstrate in experiments.
The TJA1042 is a high-speed CAN transceiver that provides an interface between aController Area Network (CAN) protocol controller and the physical two-wire CAN bus.The transceiver is designed for high-speed (up to 1 Mbit/s) CAN applications in theautomotive industry, providing the differential transmit and receive capability to (amicrocontroller with) a CAN protocol controller.