Abstract: An action recognition apparatus includes an input unit for inputting image data, a moving-object detection unit for detecting a moving object from the image data, a moving-object identification unit for identifying the detected moving object based on the image data, a state detection unit for detecting a state or an action of the moving object from the image data, and a learning unit for learning the detected state or action by associating the detected state or action with meaning information specific to the identified moving object.

Abstract: An infectious etiologic agent detection probe set which detects an infectious etiologic agent gene, includes a plurality of kinds of probes including oligonucleotide having base sequences selected from each of a plurality of groups selected from a first group including base sequences of SEQ ID Nos. 1 to 14 and complementary sequences thereof, a second group including base sequences of SEQ ID Nos. 15 to 24 and complementary sequences thereof, a third group including base sequences of SEQ ID Nos. 25 to 36 and complementary sequences thereof, a fourth group including base sequences of SEQ ID Nos. 37 to 47 and complementary sequences thereof, a fifth group including base sequences of SEQ ID Nos. 48 to 57 and complementary sequences thereof, a sixth group including base sequences of SEQ ID Nos. 58 to 68 and complementary sequences thereof, a seventh group including base sequences of SEQ ID Nos. 69 to 77 and complementary sequences thereof, an eighth group including base sequences of SEQ ID Nos.

Abstract: In a hierarchical neural network having a module structure, learning necessary for detection of a new feature class is executed by a processing module which has not finished learning yet and includes a plurality of neurons which should learn an unlearned feature class and have an undetermined receptor field structure by presenting a predetermined pattern to a data input layer. Thus, a feature class necessary for subject recognition can be learned automatically and efficiently.

Abstract: An output value of neuron within an objective layer of a hierarchical neural network is computed. The data of the output value of neuron is stored in a memory only if the output value of neuron is greater than or equal to a predetermined value by referring to the computed output value of neuron within the objective layer. When the data of the output value of neuron on a former layer of objective layer is read from the memory, the data having a predetermined value is read, instead of the data of the output value of neuron not stored in the memory.

Abstract: A hybrid formed of a probe nucleic acid immobilized onto a substrate and a sample nucleic acid, in which the target strand of the sample nucleic acid is longer than the probe nucleic acid, so that at least a 5? end portion of the target strand extends upstream the target sequence; a 3? end of the target strand is the same as a 3? end of the target sequence or extends downstream the target sequence by at least one base from the 3? end of the target sequence; and provided that when the number of bases of the extending 5? portion is designated as L1, and the number of bases of the extending 3? portion of the target strand is designated as L2, a value of L1/L2 falls within the range of 0 to 1.5 both inclusive. This hybrid is very stable so that useful for detecting a small amount of nucleic acid specifically with high sensitivity.

Abstract: A condition analysis unit (1302) estimates a surrounding environment and psychological state of the user on the basis of image data, voice data, and living body information. When the estimated psychological state is a predetermined state, a cause estimation unit (1303) estimates based on the living body information whether or not the physical condition of the user is bad. When the estimated psychological state is the predetermined state, the cause estimation unit estimates a cause of the psychological state on the basis of the surrounding environment.

Abstract: In a hierarchical neural network having a module structure, learning necessary for detection of a new feature class is executed by a processing module which has not finished learning yet and includes a plurality of neurons which should learn an unlearned feature class and have an undetermined receptor field structure by presenting a predetermined pattern to a data input layer. Thus, a feature class necessary for subject recognition can be learned automatically and efficiently.

Abstract: In a hierarchical neural network having a module structure, learning necessary for detection of a new feature class is executed by a processing module which has not finished learning yet and includes a plurality of neurons which should learn an unlearned feature class and have an undetermined receptor field structure by presenting a predetermined pattern to a data input layer. Thus, a feature class necessary for subject recognition can be learned automatically and efficiently.

Abstract: In a pattern identification device performing pattern identification of data which has been input by hierarchically extracting features, a primary feature is extracted and distribution of at least one feature extraction result extracted is analyzed, a secondary feature is extracted according to this analysis result. Thus, it is possible to perform pattern identification robustly against fluctuations of the input pattern at a reduced processing cost while reducing the probability of occurrence of incorrect identification.

Abstract: Camera information corresponding to the position at which the target to be searched for in the captured image is detected is identified, another camera specified by the identified camera information receives a notification that the target has been detected (S209), and when a notification is received from another camera, the posture of the own camera is controlled so that the area associated with the camera information specifying another camera can be observed (S211).

Abstract: It is provided a nucleic acid labeling method that can reduce to a minimum the amount of a labeling substance used and can effectively incorporate the labeling substance into a product, a target nucleic acid to be detected. In the labeling of a target nucleic acid sequence in a product while it is amplified by PCR, at least one type from among four types of substrates A, T, C and G is chosen as a substrate to be labeled, the concentration of the chosen substrates is adjusted to be lower than that of the non-chosen substrates, and at least the labeled substrates are contained in the chosen substrates.

Abstract: A data processing method of reducing signals to numerical values and processing the numerical values are provided. The signals are obtained by using a probe array where probes of a plurality of kinds are immobilized on a solid phase as so many spots such that a plurality of spots of probes of one kind are arranged on the solid phase and causing the array to react with a target substance. The method comprises (1) a step of acquiring the signal from each spot as numerical data, and (2) a step of eliminating singular values from the numerical data obtained for the plurality of spots of probes of one kind and processing the remaining numerical data to determine representative numerical data.

Abstract: Colon cancer cells in a sample are screened by analyzing the amount of expression of at least 2 or more genes or products thereof selected from the group of genes listed in Tables 1 and 30. As compared to conventional method, patients having colon cancer can be detected with higher accuracy. Colon cancer cells in stool are also screened by analyzing expression of genes selected from the group of genes listed in Table 37.

Abstract: A condition analysis unit (1302) estimates a surrounding environment and psychological state of the user on the basis of image data, voice data, and living body information. When the estimated psychological state is a predetermined state, a cause estimation unit (1303) estimates based on the living body information whether or not the physical condition of the user is bad. When the estimated psychological state is the predetermined state, the cause estimation unit estimates a cause of the psychological state on the basis of the surrounding environment.

Abstract: An output value of neuron within an objective layer of a hierarchical neural network is computed. The data of the output value of neuron is stored in a memory only if the output value of neuron is greater than or equal to a predetermined value by referring to the computed output value of neuron within the objective layer. When the data of the output value of neuron on a former layer of objective layer is read from the memory, the data having a predetermined value is read, instead of the data of the output value of neuron not stored in the memory.

Abstract: Colon cancer cells in a sample are screened by analyzing the amount of expression of at least 2 or more genes or products thereof selected from the group of genes listed in Tables 1 and 30. As compared to conventional method, patients having colon cancer can be detected with higher accuracy.

Abstract: In a pattern identification device performing pattern identification of data which has been input by hierarchically extracting features, a primary feature is extracted and distribution of at least one feature extraction result extracted is analyzed, a secondary feature is extracted according to this analysis result. Thus, it is possible to perform pattern identification robustly against fluctuations of the input pattern at a reduced processing cost while reducing the probability of occurrence of incorrect identification.

Abstract: Provided is a probe set having the same level of hybrid stability when a plurality of probes are assigned to an identical nucleic acid to be detected. The probe set is adjusted in the binding strength, for example a Tm value, of each probe in consideration of the nucleotide length of single strand portions located on both sides of a hybrid composed of a nucleic acid to be detected and the probe. If necessary, a probe is assigned to a complementary strand of the nucleic acid to be detected. A probe substrate bound with the probe set is also provided.

Abstract: In a hierarchical neural network having a module structure, learning necessary for detection of a new feature class is executed by a processing module which has not finished learning yet and includes a plurality of neurons which should learn an unlearned feature class and have an undetermined receptor field structure by presenting a predetermined pattern to a data input layer. Thus, a feature class necessary for subject recognition can be learned automatically and efficiently.

Abstract: Camera information corresponding to the position at which the target to be searched for in the captured image is detected is identified, another camera specified by the identified camera information receives a notification that the target has been detected (S209), and when a notification is received from another camera, the posture of the own camera is controlled so that the area associated with the camera information specifying another camera can be observed (S211).