Madalina
Madalina Baltatu, Torino IT
Patent application number | Description | Published |
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20090074259 | Automatic biometric identification based on face recognition and support vector machines - An automatic biometric identification method based on face recognition and support vector machines, includes enrolling a user to generate a user's reference template; and identifying the user based on the user's reference template, wherein generating a user's reference template includes acquiring a number of user's face images, and training a one-class support vector machine based on the user's face images only. | 03-19-2009 |
20100017618 | METHOD AND SYSTEM FOR BIOMETRIC AUTHENTICATION AND ENCRYPTION - A biometric user authentication method, includes enrolling a user based on user's biometric samples to generate user's reference data; and authenticating the user based on a user's live biometric sample and the user's reference data; wherein enrolling a user includes acquiring the user's biometric samples; extracting an enrollment feature vector from each user's biometric sample; computing a biometric reference template vector as a mean vector based on the enrollment feature vectors; computing a variation vector based on the enrollment feature vectors and the mean vector; randomly generating an enrollment secret vector; computing an enrollment code vector based on the enrollment secret vector and the variation vector; computing a difference vector as a wrap-around difference between the enrollment code vector and the mean vector; computing an error correction vector based on the enrollment secret vector to enable error correction during the user authentication phase according to a given error tolerance level, wherein the error correction vector is not computed if the error tolerance level is equal to zero; and storing the variation vector, the difference vector, and the error correction vector as a part of the user's reference data to be used during the user authentication phase. | 01-21-2010 |
20100287128 | Anomaly Detection for Link-State Routing Protocols - Disclosed herein is an anomaly detection method for link-state routing protocols, a link-state routing protocol providing for link-state update (LSU) messages to be exchanged between nodes in a packet-based network, wherein each link-state update message includes link-state advertisement (LSA) message(s) each having a respective header. The method comprises monitoring the link-state advertisement messages exchanged in the network, extracting and forming respective feature vectors with the values in the fields of the headers of the monitored link-state advertisement messages, and detecting an anomaly related to routing based on the feature vectors. In particular, detecting an anomaly related to routing includes feeding the feature vectors to a machine learning system, conveniently a one-class classifier, preferably a one-class support vector machine (OC-SVM). | 11-11-2010 |
20110267964 | ANOMALY DETECTION FOR PACKET-BASED NETWORKS - Disclosed herein is an anomaly detection method for a packet-based network which includes several network resources, also called network-related software objects. The method includes monitoring the network resources of the packet-based network, ordering the monitored network resources according to a given ordering criterion, and detecting an anomaly in the packet-based network based on the ordered network resources. In particular, detecting an anomaly includes forming a detection feature vector based on the ordered network resources, and feeding the detection feature vector to a machine learning system configured to detect an anomaly in the packet-based network based on the detection feature vector. The detection feature vector includes detection feature items related to corresponding monitored network resources, and arranged in the detection feature vector depending on the ordering of the corresponding monitored network resources. Conveniently, the machine learning system is a one-class classifier, preferably a one-class Support Vector Machine (OC-SVM). | 11-03-2011 |
Madalina Barbaiani, Bucuresti RO
Patent application number | Description | Published |
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20080300857 | METHOD FOR ALIGNING SENTENCES AT THE WORD LEVEL ENFORCING SELECTIVE CONTIGUITY CONSTRAINTS - An alignment method includes, for a source sentence in a source language, identifying whether the sentence includes at least one candidate term comprising a contiguous subsequence of words of the source sentence. A target sentence in a target language is aligned with the source sentence. This includes developing a probabilistic model which models conditional probability distributions for alignments between words of the source sentence and words of the target sentence and generating an optimal alignment based on the probabilistic model, including, where the source sentence includes the at least one candidate term, enforcing a contiguity constraint which requires that all the words of the target sentence which are aligned with an identified candidate term form a contiguous subsequence of the target sentence. | 12-04-2008 |
Madalina Onica, Windsor CA
Patent application number | Description | Published |
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20080217967 | AUTOMOTIVE VEHICLE SEAT HAVING A COMFORT SYSTEM - There is disclosed a comfort system suitable for use in a seat of an automotive vehicle. The system preferably includes an air mover in fluid communication with an open space below a trim layer of the seat for providing ventilation, heating and/or cooling to the seat occupant. | 09-11-2008 |
20090314920 | MOUNTING CLIP WITH IMPROVED NVH DAMPING - A clip assembly for attaching two component assemblies while reducing NVH characteristics comprising a first clip portion; a second clip portion; and a middle clip portion that connectively spans between the first clip portion and the second clip portion; wherein the middle clip portion comprises a material that absorbs at least a portion of vibration energy that may be caused by one or both of the two component assemblies. | 12-24-2009 |
20150329137 | CONDITIONED STEERING WHEEL - A conditioned steering wheel comprising: (a) a heater and (b) a ventilation system including: (i) a distribution system and (ii) one or more blowers in communication with the distribution system; (iii) a blower hood, blower hood attachment, or both connected to and extending between one or more of the one or more blowers and the distribution system so that air is moved between the distribution system and the one or more blowers; wherein the steering wheel has a center and the one or more blowers are located outside of the center of the steering wheel. | 11-19-2015 |
Madalina Rabung, Saarbrucken DE
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20130276546 | METHOD FOR NON-DESTRUCTIVE QUANTITATIVE DETERMINATION OF THE INTERNAL MICROSTRESS OF TYPE II AND/OR TYPE III - The present invention relates to methods for non-destructive quantitative determination of the internal microstresses of type II and/or III which are based on subtraction of the maximum values of the load stress dependency of the maximum Barkhausen noise amplitudes on a test piece before and after hardening of the test piece in specific thermal hardening states. The present invention hence enables independent determination of the internal microstress of type II or III, simultaneous and resolved determination of the internal microstresses of type II and III and also determination of the sum of both types of internal microstresses. | 10-24-2013 |
Madalina Zarafin, Bucharest RO
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20160132484 | AUTOMATIC GENERATION OF N-GRAMS AND CONCEPT RELATIONS FROM LINGUISTIC INPUT DATA - A method of automatically generating a lemma dictionary from a web resource may include extracting a plurality of tokens from text-based documents within the web resource, and generating a plurality of N-grams from the plurality of tokens. The method may additionally include receiving one or more filter definitions that identify valid N-grams, and filtering the plurality of N-grams using the one or more filter definitions to generate a lemma dictionary. The method may further include generating an ontology that comprises the lemma dictionary. | 05-12-2016 |