Abstract: A high electron mobility transistor (HEMT) device is provided. The HEMT device includes a substrate layer, a buffer layer, a barrier layer, and a metallic electrode layer sequentially arranged in that order from bottom to top. The metallic electrode layer includes a source electrode, a gate electrode and a drain electrode sequentially arranged in that order from left to right. The barrier layer may include m number of fluorine-doped regions arranged in sequence, where m is a positive integer and m?2. The HEMT device can realize a relative stability of transconductance in a large range of a gate-source-bias through mutual compensation of transconductances in the fluorine-doped regions with different fluorine-ion concentrations of the barrier layer under the gate electrode, and the HEMT device has a good linearity without the need of excessive adjustments of material structure and device.

Abstract: Disclosed are systems and methods for improving interactions with and between computers in content searching, generating, hosting and/or providing systems supported by or configured with personal computing devices, servers and/or platforms. The systems interact to identify and retrieve data within or across platforms, which can be used to improve the quality of data used in processing interactions between or among processors in such systems. The disclosed systems and methods provide a unified digital content discovery framework that implements a combination of a logistic loss function and a pair-wise loss function for information retrieval. The logistic loss function reduces non-relevant images from appearing in the retrieved results, while the pair-wise loss function ensures that the highest-quality content is included in such results.

Abstract: Disclosed are systems and methods for improving interactions with and between computers in content searching, generating, hosting and/or providing systems supported by or configured with personal computing devices, servers and/or platforms. The systems interact to identify and retrieve data within or across platforms, which can be used to improve the quality of data used in processing interactions between or among processors in such systems. The disclosed systems and methods provide a unified digital content discovery framework that implements a combination of a logistic loss function and a pair-wise loss function for information retrieval. The logistic loss function reduces non-relevant images from appearing in the retrieved results, while the pair-wise loss function ensures that the highest-quality content is included in such results.

Abstract: Disclosed are systems and methods for improving interactions with and between computers in content searching, generating, hosting and/or providing systems supported by or configured with personal computing devices, servers and/or platforms. The systems interact to identify and retrieve data within or across platforms, which can be used to improve the quality of data used in processing interactions between or among processors in such systems. The disclosed systems and methods provide a unified digital content discovery framework that implements a combination of a logistic loss function and a pair-wise loss function for information retrieval. The logistic loss function reduces non-relevant images from appearing in the retrieved results, while the pair-wise loss function ensures that the highest-quality content is included in such results.

Abstract: Systems, storage medium, and methods associated with transfer of content are disclosed herein. In embodiments, a storage medium may have first and second instructions configured to facilitate operation across two computing devices. In embodiments, the first instructions may be configured to enable a source computing device to recognize a sourcing gesture of a user as a command to initiate a cross-device operation, and in response to recognition of the sourcing gesture, generate and transmit a sourcing message to initiate the cross-device operation. The second instructions may be configured to enable the target computing device to recognize a targeting gesture of the user that is complementary to the sourcing gesture, and in response to recognition of the targeting gesture, generate and transmit a targeting message to facilitate completion of the initiated cross-device operation. Other embodiments may be described and/or claimed.

Abstract: Disclosed is a general learning framework for computer implementation that induces sparsity on the undirected graphical model imposed on the vector of latent factors. A latent factor model SLFA is disclosed as a matrix factorization problem with a special regularization term that encourages collaborative reconstruction. Advantageously, the model may simultaneously learn the lower-dimensional representation for data and model the pairwise relationships between latent factors explicitly. An on-line learning algorithm is disclosed to make the model amenable to large-scale learning problems. Experimental results on two synthetic data and two real-world data sets demonstrate that pairwise relationships and latent factors learned by the model provide a more structured way of exploring high-dimensional data, and the learned representations achieve the state-of-the-art classification performance.