Abstract: The present invention provides compositions comprising a Fc-containing protein wherein substantially all the Fc domains have a C-terminal lysine. Further provided are host cell for producing said compositions, methods of making said host cells and compositions, and method of use thereof.

Abstract: The present invention provides compositions comprising a Fc-containing protein wherein substantially all the Fc domains have a C-terminal lysine. Further provided are host cell for producing said compositions, methods of making said host cells and compositions, and method of use thereof.

Abstract: A method includes: performing a plurality of times of first clustering processing on a plurality of training images based on a plurality of target features to obtain a plurality of first clustering results, where each of the plurality of first clustering results corresponds to one silhouette coefficient, and the silhouette coefficient indicates cluster quality; determining a first target clustering result based on the silhouette coefficients, where the first target clustering result includes M clustering categories; and performing second clustering processing on the plurality of training images based on the plurality of target features to obtain a second clustering result, where a quantity of clustering categories included in the second clustering result is M.

Abstract: A method and corresponding apparatus include extracting a movement trajectory feature of an object from an input video. The method and corresponding apparatus also include coding the extracted movement trajectory feature, and determining a type of a movement of the object based on the coded movement trajectory feature.

Abstract: The present invention provides compositions comprising a Fc-containing protein wherein substantially all the Fc domains have a C-terminal lysine. Further provided are host cell for producing said compositions, methods of making said host cells and compositions, and method of use thereof.

Abstract: An apparatus for detecting a body part from a user image may include an image acquirer to acquire a depth image, an extractor to extract the user image from a foreground of the acquired depth image, and a body part detector to detect the body part from the user image, using a classifier trained based on at least one of a single-user image sample and a multi-user image sample. The single-user image may be an image representing non-overlapping users, and the multi-user image may be an image representing overlapping users.

Abstract: A method and corresponding apparatus include extracting a movement trajectory feature of an object from an input video. The method and corresponding apparatus also include coding the extracted movement trajectory feature, and determining a type of a movement of the object based on the coded movement trajectory feature.

Abstract: An apparatus and method for parsing a human body image may be implemented by acquiring a depth image including a human body, and detecting a plurality of points in the acquired depth image by conducting a minimum energy skeleton scan on the depth image.

Abstract: A device and a method for image processing include an image processing device that may extract a foreground moving object from a depth map of a three-dimensional (3D) image that may include an image depth map acquirer to obtain the depth map of a successive 3D image over a period of time, a moving object segmenter to segment a moving object from the obtained depth map, and a moving object tracker to identify and track the segmented moving object.

Abstract: An apparatus for detecting a body part from a user image may include an image acquirer to acquire a depth image, an extractor to extract the user image from a foreground of the acquired depth image, and a body part detector to detect the body part from the user image, using a classifier trained based on at least one of a single-user image sample and a multi-user image sample. The single-user image may be an image representing non-overlapping users, and the multi-user image may be an image representing overlapping users.

Abstract: A device and a method for image processing include an image processing device that may extract a foreground moving object from a depth map of a three-dimensional (3D) image that may include an image depth map acquirer to obtain the depth map of a successive 3D image over a period of time, a moving object segmenter to segment a moving object from the obtained depth map, and a moving object tracker to identify and track the segmented moving object.

Abstract: An apparatus and method for parsing a human body image may be implemented by acquiring a depth image including a human body, and detecting a plurality of points in the acquired depth image by conducting a minimum energy skeleton scan on the depth image.

Abstract: A mutation in the human sonic hedgehog gene is associated with tumorigenesis. A variety of human tumors, including basal cell carcinomas, breast carcinomas, medulloblastomas, etc., have a somatic mutation that results in an amino acid substitution at position 133 ?*his133 SHH!, or in a mutation at position 114. Such mutated genes and fragments thereof, encoded protein, and antibodies specific for the mutated protein are useful in characterizing the phenotype of associated tumors. The mutant protein is useful in drug screening for compositions that antagonize or otherwise modulate HH activity or expression. The encoded protein is also used as a therapeutic, to modulate cell proliferation and differentiation, and treatment of pathological conditions associated with decreased hedgehog signaling.