Intel Corporation

Telenav Gmbh

Qian Diao

Justin J Song

Eric Li

Daqing Li

In one embodiment, the present invention includes a method for providing power state change information from a plurality of cores of a processor to a predictor at a periodic interval and generating a prediction to indicate a predicted operation level of the cores during a next operating period. Other embodiments are described and claimed.

Predicting future power level states for processor cores

A method of operation of a navigation system includes: extracting a feature from a sample field with a manual label associated with a point of interest, the feature for locating the sample field in a document; generating a rule based on the feature extracted to assign the manual label to a target field; extracting the target field from the document with the manual label assigned by applying the rule to the document; and inserting the target field associated with the point of interest to a location-based guide for displaying on a device.

Navigation system with semi-automatic point of interest extraction mechanism and method of operation thereof

A method of operation of a navigation system includes: extracting navigation-related web documents having a point of interest; generating formatting sequences of the navigation-related web documents; selecting a user-defined percentile representing reciprocal fraction of an expected number of clusters; calculating a threshold value for a first cluster with the threshold value to be equal to the user-defined percentile of a first normalized distribution of sample comparison values between the first cluster and formatting sequence samples from the formatting sequences, the first cluster is from the clusters; computing an associated comparison value between a first formatting sequence from the formatting sequences and the first cluster; grouping the first formatting sequence with the first cluster when the associated comparison value exceeds the threshold value for the first cluster; and generating a travel route for the point of interest related to the first cluster for displaying on a device.

Navigation system with single pass clustering based template generation mechanism and method of operation thereof

In one embodiment, the present invention includes a method for providing power state change information from a plurality of cores of a processor package to a predictor at a periodic interval and generating a prediction to indicate a predicted operation level of the cores during a next operating period. Other embodiments are described and claimed.

Method, apparatus and system are described to perform a feature eliminating method based on a support vector machine. In some embodiments, a value for each feature in a group of features provided by a training data is determined. At least one feature is eliminated from the group by utilizing the value for each feature in the group. The value for each feature in the group is updated based upon a part of the training data that corresponds to the eliminated feature.

Recursive feature eliminating method based on a support vector machine

A method, apparatus, and system are provided for k-means clustering using t-test computation. According to one embodiment, k-means clustering is performed on a dataset. In performing k-means clustering, the dataset having various points is partitioned into several clusters. The closeness of a given point to a given cluster is determined. Then, t-test computation is performed to determine statistical linear relationship between the point and the cluster. If the point is found to be close to the cluster and a statistical linear relationship is found between the point and the cluster, the current position of the point is maintained.

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Cupertino, CA, United States of America

Qian Diao