Abstract: The present technology relates to systems and methods for removing a thrombus from a blood vessel of a patient. In some embodiments, the present technology is directed to systems including an elongated catheter having a distal portion configured to be positioned within the blood vessel of the patient, a proximal portion configured to be external to the patient, and a lumen extending therebetween. The system can also include a fluid delivery mechanism coupled with a fluid lumen and configured to apply fluid to at least partially fragment the thrombus, and an aspiration mechanism fluidly coupled to an aspiration lumen and configured to aspirate the fragmented thrombus.

Abstract: Embodiments disclosed herein generally relate to lighting an interior of an enclosure using light emitting diodes (LEDs). In one example, a lighting system is provided. The lighting system includes one or more selective light directors having one or more point sources of light disposed along a length of the selective light director, a circuit board coupled to at least one end thereof, and a light emitting diode directing light into the selective light director.

Abstract: Embodiments disclosed herein generally relate to lighting an interior of an enclosure using light emitting diodes (LEDs). In one example, a lighting system is provided. The lighting system includes one or more selective light directors having one or more point sources of light disposed along a length of the selective light director, a circuit board coupled to at least one end thereof, and a light emitting diode directing light into the selective light director.

Abstract: Systems and methods are provided for a media device that controls input and output characteristics based on one or more associated conditions.

Abstract: Techniques for interacting with an online media store using a first device to identify a digital media item of interest to a user of the first device, using the first device to store an interest indicator for the digital media item of interest at the online media store, and subsequently interacting with the online media store using a second device to purchase or preview the digital media item of interest as identified by the interest indicator. Additionally, ring tones and graphics associated with the digital media item of interest can also be purchased.

Abstract: Techniques for interacting with an online media store using a first device to identify a digital media item of interest to a user of the first device, using the first device to store an interest indicator for the digital media item of interest at the online media store, and subsequently interacting with the online media store using a second device to purchase or preview the digital media item of interest as identified by the interest indicator. Additionally, ring tones and graphics associated with the digital media item of interest can also be purchased.

Abstract: Techniques for interacting with an online media store using a first device to identify a digital media item of interest to a user of the first device, using the first device to store an interest indicator for the digital media item of interest at the online media store, and subsequently interacting with the online media store using a second device to purchase or preview the digital media item of interest as identified by the interest indicator. Additionally, ring tones and graphics associated with the digital media item of interest can also be purchased.

Abstract: Systems and methods are provided for a media device that controls input and output characteristics based on one or more associated conditions.

Abstract: Techniques for interacting with an online media store using a first device to identify a digital media item of interest to a user of the first device, using the first device to store an interest indicator for the digital media item of interest at the online media store, and subsequently interacting with the online media store using a second device to purchase or preview the digital media item of interest as identified by the interest indicator. Additionally, ring tones and graphics associated with the digital media item of interest can also be purchased.

Abstract: A method and apparatus for speech recognition using Markov processes on curves are presented. The method and apparatus operate such that input speech utterances are received and represented as multidimensional curves. The curve is split into acoustic segments representing different components based on initial model estimates. The segments are used to create a new statistical model for the curve. The process may be reiterated to produce a more precise statistical model for recognition. As a result, feature vectors are extracted from input speech and contribute to a recognition score in proportion to their arc length. The arc lengths are weighted to minimize recognition errors due to variations in speaking rate. In addition, more importance is attached to short-lived but non-stationary sounds, such as consonants.

Abstract: A method and apparatus for speech recognition using Markov processes on curves are presented. The method and apparatus operate such that input speech utterances are received and represented as multidimensional curves. The curve is split into acoustic segments representing different components based on initial model estimates. The segments are used to create a new statistical model for the curve. The process may be reiterated to produce a more precise statistical model for recognition. As a result, feature vectors are extracted from input speech and contribute to a recognition score in proportion to their arc length. The arc lengths are weighted to minimize recognition errors due to variations in speaking rate. In addition, more importance is attached to short-lived but non-stationary sounds, such as consonants.

Abstract: A method and apparatus for speech recognition using Markov processes on curves are presented. The method and apparatus operate such that input speech utterances are received and represented as multidimensional curves. The curve is split into acoustic segments representing different components based on initial model estimates. The segments are used to create a new statistical model for the curve. The process may be reiterated to produce a more precise statistical model for recognition. As a result, feature vectors are extracted from input speech and contribute to a recognition score in proportion to their arc length. The arc lengths are weighted to minimize recognition errors due to variations in speaking rate. In addition, more importance is attached to short-lived but non-stationary sounds, such as consonants.