Nec Laboratories America, Inc.

Hmt Technology Corporation

Western Digital (fremont), Inc.

Oath Inc.

Ming M Yang

Kai Hung Yu

Xiaoyu Wang

Shenghuo Zhu

Yuanqing Lin

Michael A Russak

James L Chao

Rohit Chandra

Bruce M Harper

Yunfei Li

Yanfeng Chen

Peter C Jann

Adwait Ratnaparkhi

Ben M Shahshahani

Yunjun Tang

Wei Xu

Fengjun Lv

Parikshit Shah

Zhangmin Wang

Reginald Lee

Yana Qian

Marco A Krumbuegel

Timothee Cour

Shaoting Zhang

Shuiwang Ji

Sachidanand Alle

Jiangning Li

Paul E Anderson

Zhaoguo Jiang

Qi Tian

A system and method enable exploration of cold ads in an online information system. Cold ads are ads that are new to the system and do not yet have reliable click through rate (CTR) estimates or click probabilities. The method and system selectively boost the click probabilities of cold ads to increase their likelihood of participating in and winning an auction so that the cold ad get more impressions, but without adversely affecting revenue in a production environment when cold ads are introduced.

Exploration for search advertising

Systems and methods are disclosed for object detection by receiving an image and extracting features therefrom; applying a learning process to determine sub-regions and select predetermined pooling regions; and performing selective max-pooling to choose one or more feature regions without noises.

Selective max-pooling for object detection

Damascene processes using physical vapor deposition (PVD) sputter carbon film as a chemical mechanical planarization (CMP) stop layer for forming a magnetic recording head are provided. In one embodiment, one such process includes providing an insulator, removing a portion of the insulator to form a trench within the insulator, depositing a carbon material on first portions of the insulator using a physical vapor deposition process, disposing at least one ferromagnetic material on second portions of the insulator to form a pole including a portion of the ferromagnetic material within the trench, and performing a chemical mechanical planarization on the at least one ferromagnetic material using at least a portion of the carbon material as a stop for the chemical mechanical planarization.

Damascene process using PVD sputter carbon film as CMP stop layer for forming a magnetic recording head

Systems and methods are disclosed for object detection by receiving an image; segmenting the image; extracting features from the image; and performing a dimension-wise spatial layout selection to pick up dimensions inside a discriminative spatial region for classification.

Dimension-wise spatial layout importance selection: an alternative way to handle object deformation

Systems and methods for object detection by receiving an image; segmenting the image and identifying candidate bounding boxes which may contain an object; for each candidate bounding box, dividing the box into overlapped small patches, and extracting dense features from the patches; during a training phase, applying a learning process to learn one or more discriminative classification models to classify negative boxes and positive boxes; and during an operational phase, for a new box generated from the image, applying the learned classification model to classify whether the box contains an object.

Window dependent feature regions and strict spatial layout for object detection

Systems and methods are disclosed to search for a query image, by detecting local invariant features and local descriptors; retrieving best matching images by quantizing the local descriptors with a vocabulary tree; and reordering retrieved images with results from the vocabulary tree quantization.

Contextual weighting and efficient re-ranking for vocabulary tree based image retrieval

An image retrieval method includes learning multiple object category classifiers with a processor offline and generating classifications scores of images as the semantic attributes; performing vocabulary tree based image retrieval using local features with semantic-aware co-indexing to jointly embed two distinct cues offline for near-duplicate image retrieval; and identifying top similar or dissimilar images using multiple semantic attributes.

Semantic-aware co-indexing for near-duplicate image retrieval

Systems and methods are disclosed to categorize images by detecting local features for each image; applying a tree structure to index local features in the images; and extracting a rank list of candidate images with category tags based on a tree indexing structure to estimate a label of a query image.

Fast image classification by vocabulary tree based image retrieval

Systems and methods for image retrieval include constructing a plurality of graphs including a first graph for candidate images retrieved based upon holistic features of a query image and a second graph for candidate images retrieved based upon local features of the query image, wherein constructing includes weighting connected images based upon a Jaccard similarity coefficient. The plurality of graphs are fused to provide a fused graph. Candidate images of the fused graph are ranked, using a processor, to provide retrieval results of the query image.

Query specific fusion for image retrieval

Systems and methods are disclosed for determining personal characteristics from images by generating a baseline gender model and an age estimation model using one or more convolutional neural networks (CNNs); capturing correspondences of faces by face tracking, and applying incremental learning to the CNNs and enforcing correspondence constraint such that CNN outputs are consistent and stable for one person.

Systems and methods for determining personal characteristics

Systems and methods are disclosed to recognize clothing from videos by detecting and tracking a human; performing face alignment and occlusal detection; and performing age and gender estimation, skin area extraction, and clothing segmentation to a linear support vector machine (SVM) to recognize clothing worn by the human.

Real-time clothing recognition in surveillance videos

Systems and methods are disclosed to recognize human action from one or more video frames by performing 3D convolutions to capture motion information encoded in multiple adjacent frames and extracting features from spatial and temporal dimensions therefrom; generating multiple channels of information from the video frames, combining information from all channels to obtain a feature representation for a 3D CNN model; and applying the 3D CNN model to recognize human actions.

3D convolutional neural networks for automatic human action recognition

Protective overlayers for magnetic recording media are described. The overlayers, composed of a transition metal-silicon or transition metal-germanium interlayer and a carbon overcoat, provide good wear resistance and corrosion resistance at thicknesses of less than 100 &angst;.

Thin overlayer for magnetic recording disk

Polishing slurries for use in polishing substrates having a nickel or nickel-containing surface, such as those used for magnetic media, are described. The slurries include, in addition to a chemical etchant such as aluminum nitrate and suspended abrasive particles, an oxidizer which converts nickel metal at the surface to nickel oxide, but does not solubilize the nickel oxide in the aqueous medium to any significant degree. Preferred oxidizers include hydrogen peroxide, ferric nitrate and potassium iodate.

Metal polishing composition

An apparatus for measuring the height and diameter of laser-zone texture bumps on a rigid magnetic disk substrate is disclosed. The apparatus has a disk holder for supporting and rotating the substrate, and an optical beam-source assembly for directing a focused laser beam on the substrate, and for shifting the position of the beam's illumination spot on the substrate in a tracking (radial) direction. An optical detection assembly in the apparatus measures the deflection of the laser beam due to specular reflection of the beam by laser-zone texture bumps, as a function of time, in both scanning (circumferential) and tracking directions. A computational device in the apparatus functions to (i) calculate scanning and tracking deflection values which characterize beam deflections in the scanning and tracking directions, respectively, for a texture bump passing through the illumination spot produced by the beam on the substrate, (ii) select for bump-height analysis, those texture bumps whose scanning deflection values are above a selected threshold value and whose tracking deflection values are below a selected threshold value, indicative of a condition in which the selected textured bumps are each in focus and centered within said illumination spot, and (iii) determine the texture bump heights and diameters of the selected bumps from the beam deflections in the scanning direction. Also disclosed is a method by which the apparatus measures the light power which is scattered by the of laser-zone texture bumps on a rigid magnetic disk substrate.

Growing community of inventors

San Jose, CA, United States of America

Ming M Yang