Abstract: An intelligent system detects triangles in digital photographic images, including portrait photography. The method extracts a set of filtered line segments as candidate triangle sides and/or objects as candidate triangle vertices. A modified RANSAC algorithm is utilized to fit triangles onto the set of line segments and/or vertices. Two metrics may then be used evaluate the fitted triangles. Those with high fitting scores are considered as detected triangles. The system can accurately locate preeminent triangles in photographs without any knowledge about the camera parameters or lens choices. The invention can also help amateurs gain a deeper understanding and inspirations from professional photographic works.

Abstract: The trend of analyzing big data in artificial intelligence requires more scalable machine learning algorithms, among which clustering is a fundamental and arguably the most widely applied method. To extend the applications of regular vector-based clustering algorithms, the Discrete Distribution (D2) clustering algorithm has been developed for clustering bags of weighted vectors which are well adopted in many emerging machine learning applications. The high computational complexity of D2-clustering limits its impact in solving massive learning problems. Here we present a parallel D2-clustering algorithm with substantially improved scalability. We develop a hierarchical structure for parallel computing in order to achieve a balance between the individual-node computation and the integration process of the algorithm. The parallel algorithm achieves significant speed-up with minor accuracy loss.

Abstract: A wheel assembly includes an optical detector and encoder, attached to a stator and located within a hub of the wheel assembly. The optical detector and encoder detects motion of the hub and encodes information about the detected motion of the hub. Based on the encoded information, the optical detector and encoder produces a feedback signal for control circuitry that controls rotation of the wheel.

Abstract: Disclosed are compounds having the formula: wherein R1, R2, R3 and Z are as defined herein, and methods of making and using the same.

Abstract: Automatic selection of training images is enhanced using an instance-weighted mixture modeling framework called ARTEMIS. An optimization algorithm is derived that in addition to mixture parameter estimation learns instance-weights, essentially adapting to the noise associated with each example. The mechanism of hypothetical local mapping is evoked so that data in diverse mathematical forms or modalities can be cohesively treated as the system maintains tractability in optimization. Training examples are selected from top-ranked images of a likelihood-based image ranking. Experiments indicate that ARTEMIS exhibits higher resilience to noise than several baselines for large training data collection. The performance of ARTEMIS-trained image annotation system is comparable to using manually curated datasets.

Abstract: Shape features in natural images influence emotions aroused in human beings. An in-depth statistical analysis helps to understand the relationship between shapes and emotions. Through experimental results on the International Affective Picture System (IAPS) dataset, evidence is presented as to the significance of roundness-angularity and simplicity-complexity on predicting emotional content in images. Shape features are combined with other state-of-the-art features to show a gain in prediction and classification accuracy. Emotions are modeled from a dimensional perspective in order to predict valence and arousal ratings, which have advantages over modeling the traditional discrete emotional categories. Images are distinguished vis-a-vis strong emotional content from emotionally neutral images with high accuracy.

Abstract: A composition model is developed based on the image segmentation and the vanishing point of the scene. By integrating both photometric and geometric cues, better segmentation is provided. These cues are directly used to detect the dominant vanishing point in an image without extracting any line segments. Based on the composition model, a novel image retrieval system is developed which can retrieve images with similar compositions as the query image from a collection of images and provide feedback to photographers.

Abstract: Disclosed are compounds having the formula: wherein R1, R2, R3 and Z are as defined herein, and methods of making and using the same.

Abstract: Computationally efficient accelerated D2-clustering algorithms are disclosed for clustering discrete distributions under the Wasserstein distance with improved scalability. Three first-order methods include subgradient descent method with re-parametrization, alternating direction method of multipliers (ADMM), and a modified version of Bregman ADMM. The effects of the hyper-parameters on robustness, convergence, and speed of optimization are thoroughly examined. A parallel algorithm for the modified Bregman ADMM method is tested in a multi-core environment with adequate scaling efficiency subject to hundreds of CPUs, demonstrating the effectiveness of AD2-clustering.

Abstract: In one aspect, the disclosure features, a method of treating a cancer, e.g. colorectal cancer, e.g., rectal cancer, in a subject with a cyclodextrin containing polymer (“CDP”)-camptothecin conjugate, particle or composition or camptothecin derivative conjugate, particle or composition described herein, e.g., CRLX101. The method comprises: providing an initial administration of a CDP-camptothecin conjugate, particle or composition or camptothecin derivative conjugate, particle or composition described herein, e.g., CRLX101.

Abstract: Shape features in natural images influence emotions aroused in human beings. An in-depth statistical analysis helps to understand the relationship between shapes and emotions. Through experimental results on the International Affective Picture System (IAPS) dataset, evidence is presented as to the significance of roundness-angularity and simplicity-complexity on predicting emotional content in images. Shape features are combined with other state-of-the-art features to show a gain in prediction and classification accuracy. Emotions are modeled from a dimensional perspective in order to predict valence and arousal ratings, which have advantages over modeling the traditional discrete emotional categories. Images are distinguished vis-a-vis strong emotional content from emotionally neutral images with high accuracy.

Abstract: A transceiver station provides wireless resources for cells on a plurality of carriers in a geographical coverage area, where the geographical coverage area is divided into a plurality of sectors. The transceiver station includes a first board and a second board. The first board includes a L1 processing circuit configured to perform L1 processing functions on at least one of radio frequency antenna streams and downlink transmit data for users in the cells on a per-carrier basis. The second board includes a scheduler configured to schedule at least one of uplink and downlink transmissions for the cells on a per-sector basis, the second board being separate from, but interconnected with the first board.

Abstract: A transceiver station provides wireless resources including at least one communication feature for users in a geographical coverage area. The geographical coverage area includes a plurality of cells, and each of the plurality of cells is associated with a different combination of at least one carrier and at least one sector. The transceiver station includes: a first board having a first L1 processing circuit configured to perform functions associated with providing the at least one communication feature for the user in a first subset of the plurality of cells; and a second board configured to exchange at least control information with the first board. The second board includes a second L1 processing circuit configured to perform functions associated with providing the at least one communication feature for the user in a second subset of the plurality of cells.

Abstract: A transceiver station provides wireless resources including communication features for users in a geographical coverage area including a plurality of cells, each of the plurality of cells being associated with a different combination of at least one carrier and at least one sector of the geographical coverage area. The transceiver station includes a first board and a second board. The first board includes a first L1 processing circuit configured to perform functions associated with providing a first set of the communication features for the users in a first subset of cells from among the plurality of cells. The second board communicatively is coupled with the first board, and includes a second L1 processing circuit configured to perform functions associated with providing a second set of the communication features for the users in a second subset of cells from among the plurality of cells.

Abstract: An integrated circuit (IC) electromagnetic interference (EMI) filter with electrostatic discharge (ESD) protection incorporating inductor-capacitor (LC) resonance tanks is disclosed. The filter comprises at least one circuit composed of a diode and an inductor connected in series, wherein the diode induces a parasitic capacitance and the circuit is grounded. When a number of the circuit is two, a passive element is coupled between the two inductors and cooperates with them to induce two parasitic capacitances connected with the circuits. When a number of the circuit is one, two diodes respectively connect with the inductor through two passive elements. Each diode can induce a parasitic capacitance. The two passive elements and the inductor can induce a parasitic capacitance connected with the circuit.

Abstract: Embodiments of the invention are directed to compounds that are positive allosteric modulators of AMPA receptors.

Abstract: An intelligent system detects triangles in digital photographic images, including portrait photography. The method extracts a set of filtered line segments as candidate triangle sides and/or objects as candidate triangle vertices. A modified RANSAC algorithm is utilized to fit triangles onto the set of line segments and/or vertices. Two metrics may then be used evaluate the fitted triangles. Those with high fitting scores are considered as detected triangles. The system can accurately locate preeminent triangles in photographs without any knowledge about the camera parameters or lens choices. The invention can also help amateurs gain a deeper understanding and inspirations from professional photographic works.

Abstract: Satellite images from vast historical archives are analyzed to predict severe storms. We extract and summarize important visual storm evidence from satellite image sequences in a way similar to how meteorologists interpret these images. The method extracts and fits local cloud motions from image sequences to model the storm-related cloud patches. Image data of an entire year are adopted to train the model. The historical storm reports since the year 2000 are used as the ground-truth and statistical priors in the modeling process. Experiments demonstrate the usefulness and potential of the algorithm for producing improved storm forecasts. A preferred method applies cloud motion estimation in image sequences. This aspect of the invention is important because it extracts and models certain patterns of cloud motion, in addition to capturing the cloud displacement.

Abstract: An integrated electromagnetic interference (EMI) filter circuit with electrostatic discharge (ESD) protection and incorporating capacitors is provided. At least one passive element, i.e. resistor or inductor is connected between an input terminal and an output terminal. A first capacitor is connected between ground and the input terminal, and a second capacitor is connected between ground and the output terminal. A first diode and a second diode are connected in parallel to the first capacitor and the second capacitor. One or multiple parallel capacitors are connected in parallel to the passive element and between the input terminal and the output terminal for frequency compensation by employing the novel EMI LPF circuit, it is extraordinarily advantageous of enhancing its rejection band attenuation and meanwhile maintaining high cut-off frequency while implementation.

Abstract: A transceiver station provides wireless resources including communication features for users in a geographical coverage area including a plurality of cells, each of the plurality of cells being associated with a different combination of at least one carrier and at least one sector of the geographical coverage area. The transceiver station includes a first board and a second board. The first board includes a first L1 processing circuit configured to perform functions associated with providing a first set of the communication features for the users in a first subset of cells from among the plurality of cells. The second board communicatively is coupled with the first board, and includes a second L1 processing circuit configured to perform functions associated with providing a second set of the communication features for the users in a second subset of cells from among the plurality of cells.