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Costache
Adriana Costache, Roslindale, MA US
| Patent application number | Description | Published |
|---|---|---|
| 20110064811 | Solid forms of N-[2,4-BIS(1,1-dimethylethyl)-5-hydroxyphenyl]-1,4-dihydro-4-oxoquinoline- -3-carboxamide - The present invention relates to solid state forms of N-[2,4-bis(1,1-dimethylethyl)-5-hydroxyphenyl]-1,4-dihydro-4-oxoquinoline-3-carboxamide (Compound 1), pharmaceutical compositions thereof and methods therewith. | 03-17-2011 |
Cristian Costache, Dublin IE
| Patent application number | Description | Published |
|---|---|---|
| 20090100154 | AUTOMATICALLY INSTRUMENTING A SET OF WEB DOCUMENTS - Embodiments of the invention provide a method and system for automatically instrumenting a set of web documents, such as web pages, as well as embedding structures that present advertising content via the web pages. The instrumentation automatically embeds tags that enable usage information associated with the web documents to be tracked and recorded. Many hundreds or thousands of web pages can be automatically modified without user intervention, enabling comprehensive reporting and tracking to be performed on each page. The web pages are analyzed and insertion points intelligently located. Changes can be verified to ensure that no undesirable effects resulted from embedding the content. The tags can receive parameters customized to the level of users and pages. The tags, insertion information, and other configuration information can be stored in a central repository to make subsequent tagging easier. | 04-16-2009 |
Gabriel Costache, Galway IE
| Patent application number | Description | Published |
|---|---|---|
| 20100202707 | Method and Component for Image Recognition - A method and system for image recognition in a collection of digital images includes training image classifiers and retrieving a sub-set of images from the collection. For each image in the collection, any regions within the image that correspond to a face are identified. For each face region and any associated peripheral region, feature vectors are determined for each of the image classifiers. The feature vectors are stored in association with data relating to the associated face region. At least one reference region including a face to be recognized is/are selected from an image. At least one classifier on which said retrieval is to be based is/are selected from the image classifiers. A respective feature vector for each selected classifier is determined for the reference region. The sub-set of images is retrieved from within the image collection in accordance with the distance between the feature vectors determined for the reference region and the feature vectors for face regions of the image collection. | 08-12-2010 |
| 20100272363 | FACE SEARCHING AND DETECTION IN A DIGITAL IMAGE ACQUISITION DEVICE - A method of detecting a face in an image includes performing face detection within a first window of the image at a first location. A confidence level is obtained from the face detection indicating a probability of the image including a face at or in the vicinity of the first location. Face detection is then performed within a second window at a second location, wherein the second location is determined based on the confidence level. | 10-28-2010 |
| 20110081052 | FACE RECOGNITION PERFORMANCE USING ADDITIONAL IMAGE FEATURES - A technique is provided for recognizing faces in an image stream using a digital image acquisition device. A first acquired image is received from an image stream. A first face region is detected within the first acquired image having a given size and a respective location within the first acquired image. First faceprint data uniquely identifying the first face region are extracted along with first peripheral region data around the first face region. The first faceprint and peripheral region data are stored, and the first peripheral region data are associated with the first face region. The first face region is tracked until a face lock is lost. A second face region is detected within a second acquired image from the image stream. Second peripheral region data around the second face region are extracted. The second face region is identified upon matching the first and second peripheral region data. | 04-07-2011 |
Gabriel N. Costache, Galway IE
| Patent application number | Description | Published |
|---|---|---|
| 20090238410 | FACE RECOGNITION WITH COMBINED PCA-BASED DATASETS - A face recognition method for working with two or more collections of facial images is provided. A representation framework is determined for a first collection of facial images including at least principle component analysis (PCA) features. A representation of said first collection is stored using the representation framework. A modified representation framework is determined based on statistical properties of original facial image samples of a second collection of facial images and the stored representation of the first collection. The first and second collections are combined without using original facial image samples. A representation of the combined image collection (super-collection) is stored using the modified representation framework. A representation of a current facial image, determined in terms of the modified representation framework, is compared with one or more representations of facial images of the combined collection. Based on the comparing, it is determined which, if any, of the facial images within the combined collection matches the current facial image. | 09-24-2009 |