Abstract: The present invention provides a multiform separation classifier, including an input module, a data collection module, a multiform separation engine, and an output module. The input module is configured to receive sample data. The data collection module is connected to the input module and configured to store a collection of data from the input module. The collection of data includes a training set and/or a test set. The multiform separation engine is connected to the data collection module and configured to use at least two piecewise continuous functions to perform classification. The piecewise continuous functions are respectively trained with the training set through a learning process. The output module is connected to the multiform separation engine and configured to derive an output result after the sample data is processed through the multiform separation engine.

Abstract: The present invention provides a loyalty extraction machine, wherein “quadratic multiform separation” (QMS) is modified and executed multiplicatively in an even generalized way. In each execution, the characteristic of one single membership is either enhanced or reduced. This process is performed in turn to each membership. Thus, every sample data (or element) receives multiple classification results. Then, the multiple classification results are collected and analyzed by an “eclectic classifier” to reach a final decision. The combination of the generalized QMS and the eclectic classifier therefore develops the loyalty extraction machine. Moreover, a label called “loyalty type” of the element is introduced to describe the effectiveness of membership recognition with respect to a training set.

Abstract: The present invention provides a multiform separation classifier, including an input module, a data collection module, a multiform separation engine, and an output module. The input module is configured to receive sample data. The data collection module is connected to the input module and configured to store a collection of data from the input module. The collection of data includes a training set and/or a test set. The multiform separation engine is connected to the data collection module and configured to use at least two piecewise continuous functions to perform classification. The piecewise continuous functions are respectively trained with the training set through a learning process. The output module is connected to the multiform separation engine and configured to derive an output result after the sample data is processed through the multiform separation engine.

Abstract: The present invention provides an eclectic classifier including an input module, a data collection module, a classifier combination module, and an output module. The input module is configured to receive sample data. The data collection module is configured to store a collection of data from the input module. The collection of data includes a training set and/or a test set. The classifier combination module is configured to combine at least two developed classifiers trained with the training set. The output module is configured to derive an output result after the sample data is processed through the classifier combination module.

Abstract: A mobile web browser embedded in a smartphone operative to open a secure and private session with a web server on the Internet via one or more cell towers, using a mobile IP address of the smartphone, the mobile web browser including a VPN connector operative to connect the smartphone to a secure VPN server and to establish a virtual IP address for the smartphone, the virtual IP address corresponding to the location of the VPN server, a switch operable to change a current IP address of the smartphone used by the mobile web browser from a non-VPN mobile IP address to the virtual IP address of the VPN server, in a seamless manner without interrupting a current session with a web server, a URL content scanner causing a URL of a web page to be scanned for potential malware, a URL blocker, a tracker scanner and a tracker blocker.

Abstract: A mobile web browser embedded in a smartphone operative to open a secure and private session with a web server on the Internet via one or more cell towers, using a mobile IP address of the smartphone, the mobile web browser including a VPN connector operative to connect the smartphone to a secure VPN server and to establish a virtual IP address for the smartphone, the virtual IP address corresponding to the location of the VPN server, a switch operable to change a current IP address of the smartphone used by the mobile web browser from a non-VPN mobile IP address to the virtual IP address of the VPN server, in a seamless manner without interrupting a current session with a web server, a URL content scanner causing a URL of a web page to be scanned for potential malware, a URL blocker, a tracker scanner and a tracker blocker.

Abstract: An article of footwear includes an upper and a sole assembly. The sole assembly includes a central member of a first material having a first density with its medial and lateral sides having surface irregularities. A medial member extends along a medial side of the central member and beneath a portion of the central member, and has a surface irregularity configured to mate and interlock with a surface irregularity of the central member. The medial member is formed of a second material having a density greater than the first density. A lateral member extends along a lateral side of the central member and beneath a portion of the central member, and has a surface irregularity configured to mate and interlock with a surface irregularity of the central member. The lateral member is formed of a third material having a density greater than the first density.