Abstract:
Efficient updates of connections in artificial neuron networks may be implemented. A framework may be used to describe the connections using a linear synaptic dynamic process, characterized by stable equilibrium. The state of neurons and synapses within the network may be updated, based on inputs and outputs to/from neurons. In some implementations, the updates may be implemented at regular time intervals. In one or more implementations, the updates may be implemented on-demand, based on the network activity (e.g., neuron output and/or input) so as to further reduce computational load associated with the synaptic updates. The connection updates may be decomposed into multiple event-dependent connection change components that may be used to describe connection plasticity change due to neuron input. Using event-dependent connection change components, connection updates may be executed on per neuron basis, as opposed to per-connection basis.
Abstract:
A cheaper to produce, smaller and easy to drive adaptive antenna module is presented. The module comprises a signal path, an antenna, and a tuning circuit with two variable impedance elements. The tuning circuit operates over a restricted range of impedances and maintains the series resonance characteristic of the antenna.
Abstract:
Embodiments are directed towards performing depth estimation within a digital camera system based on interpolation of inverse focus statistics. After an image is captured, various statistics or focus measure may be calculated using, for example, a high pass filter. Depth is estimated by interpolating the inverse of the statistics for three positions of focus for the image. The inverse of the statistics, St(n), may be 1/St(n), or 1/St2(n), or even 1/StZ(n), where Z≧1. Several approaches to interpolating the inverse values of the statistics to obtain a depth estimate are disclosed, including a general parabolic minimum approach, using a parabolic minimum within a progressive scheme, or within a continuous AF scheme. The depth estimate may then be used for a variety of applications, including automatic focusing, as well as converting 2D images to 3D images.
Abstract:
A method, apparatus, and manufacture for smiling face detection is provided. For each frame, a list of new smiling faces for the frame is generated by performing smiling face detection employing an object classifier that trained is to distinguish between smiling faces and all objects in the frame that are not smiling faces. For the first frame, the list of new smiling faces is employed as an input smiling face list for the next frame. For each frame after the first frame, a list of tracked smiles for the frame is generated by tracking smiling faces in the frame from the input smiling list for the frame. Further, a list of new smiling faces is generated for the next frame by combining the list of new smiling faces for the frame with the list of tracked smiles for the frame.
Abstract:
The invention relates to an adjustable capacitative element which can assume discrete capacity values the impedance values Zi of which that it can assume are distributed as evenly as possible in the Smith Chart. An adjustable capacitative element comprises a capacitor which can assume discrete capacity values. The phase of the reflection factor or the impedance values of the capacity values are interspaced equidistantly.
Abstract:
Apparatus and methods for an extensible robotic device with artificial intelligence and receptive to training controls. In one implementation, a modular robotic system that allows a user to fully select the architecture and capability set of their robotic device is disclosed. The user may add/remove modules as their respective functions are required/obviated. In addition, the artificial intelligence is based on a neuronal network (e.g., spiking neural network), and a behavioral control structure that allows a user to train a robotic device in manner conceptually similar to the mode in which one goes about training a domesticated animal such as a dog or cat (e.g., a positive/negative feedback training paradigm) is used. The trainable behavior control structure is based on the artificial neural network, which simulates the neural/synaptic activity of the brain of a living organism.
Abstract:
A digital camera system for super resolution image processing is provided. The digital camera system includes a resolution enhancement module configured to receive at least a portion of an image, to increase the resolution of the received image, and to output a resolution enhanced image and an edge extraction module configured to receive the resolution enhanced image, to extract at least one edge of the resolution enhanced image, and to output the extracted at least one edge of the resolution enhanced image, the at least one edge being a set of contiguous pixels where an abrupt change in pixel values occur. The digital camera system also includes an edge enhancement module configured to receive the resolution enhanced image and the extracted at least one edge, and to combine the extracted at least one edge or a derivation of the extracted at least one edge with the resolution enhanced image.
Abstract:
A system TLB accepts translation prefetch requests from initiators. Misses generate external translation requests to a walker port. Attributes of the request such as ID, address, and class, as well as the state of the TLB affect the allocation policy of translations within multiple levels of translation tables. Translation tables are implemented with SRAM, and organized in groups.
Abstract:
A capacitive touch panel is tested for the presence or absence of short and open circuits in drive and sense lines without the use of a tool that touches the surface of the panel. During a first stage of testing, drive lines of the touch panel are sequentially driven while the remaining drive lines are floated. Sense lines are read to indicate whether a driven drive line is shorted to an adjacent drive line, an open circuit, or coupled to a sense line that is an open circuit. During a second stage of testing, drive lines are driven while alternate sense lines are floated or enabled. The signals on the enabled sense lines are acquired to indicate whether the enabled sense lines are shorted to adjacent sense lines. This second stage can be repeated, switching the roles of the sense lines, to determine the locations of short and/or open circuits.
Abstract:
A method for the impedance matching of front end circuits to antennas in mutually different transmission and reception frequency ranges is specified. A suitable matching circuit is furthermore specified. The impedance matching in a transmission frequency range is determined such that an excessively poor impedance matching in a reception frequency range is prevented in this case.